Spring 2024 Seminars

Thursdays, 3:30 – 4:30 p.m.
Flyer distributed to students and posted below “just in time” will have necessary links / location info


Thursday, January 11, 2024
Dr. David Zhang

Research Associate of Biostatistics at the University of Pennsylvania Perelman School of Medicine
Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology.


Tuesday, January 16, 2024
Dr. Wenzhuo Zhou

Postdoctoral fellow at the University of California Irvine
Actor-Critic Graph Neural Networks: A Complete Recipe for Neural Decoding


Thursday, January 18, 2024
Dr. Qiao Liu

Postdoctoral scholar from Department of Statistics, Stanford University
A Flexible Generative AI Framework for High-dimensional Data Analysis


Tuesday, January 23, 2024
Dr. Zhun Deng

Postdoctoral Researcher, Columbia University
Tame the Beast: Practical Theories for Real-World Responsible AI Deployment


Thursday, January 25, 2024
Dr. Shuangning Li

Postdoctoral Fellow, Harvard University
Inference and Decision-Making amid Social Interactions


Thursday, February 1, 2024
Dr. Chenyin Gao

Ph.D. student in the Department of Statistics, North Carolina State University
Dynamic Integrative Analysis for Heterogeneous Data


Tuesday, February 6, 2024
Dr. Doudou Zhou

Postdoctoral Research Fellow in Biostatistics at Harvard University
Extracting Reliable Real-world Evidence from Multi-institutional EHR Data


Thursday, February 8, 2024
Dr. Xiang Zhu

Assistant Professor of Biostatistics at Penn State
Applying an Enhancer Lens to Human Disease Genetics


Tuesday, February 13, 2024
Dr. Jiwei Zhao
Associate Professor at the University of Wisconsin-Madison
A Semiparametric Perspective on Unsupervised Domain Adaptation: Doubly Flexible Estimation and Efficient Label Shift Adaptation 


Tuesday, February 20, 2024
Dr. Tyler McCormick
Professor in the Department of Sociology at the University of Washington
Social Networks and Geometry: Insights for Data Collection and Analysis


Thursday, February 22, 2024
Dr. Chengchun Shi

Associate Professor of the Department of Statistics at London School of Economics and Political Science (LSE)
Statistical Inference in Reinforcement Learning


Thursday, February 29, 2024
Dr. Peter Song

Professor of the Department of Biostatistics at the University of Michigan
Quantile Mediation Analysis

Tuesday, March 5, 2024Dr. Ivana MalenicaWojcicki Troper HDSI Fellow at Harvard UniversityPersonalized Decision-Making in Highly Dependent Settings

Thursday, March 7, 2024
Dr. Ting Ye

Assistant Professor of Biostatistics at the University of Washington
Robust inference of treatment effects in platform trials

Thursday, March 21, 2024
Dr. Heping Zhang

Susan Dwight Bliss Professor of Biostatistics at Yale University
An Integrative Network-Based Mediation Model (NMM) to Estimate Multiple Genetic Effects on Outcomes Mediated by Functional Connectivity

Thursday, April 4, 2024
Dr. Veronica Rockova

Professor at the Booth School of Business at the University of Chicago

Thursday, April 11, 2024
Dr. Yanxun Xu

Associate Professor of Applied Mathematics and Statistics/Division of Biostatistics and Bioinformatics at John Hopkins Universiry

Thursday, April 18, 2024
Dr. Tian Ge

Assistant Professor of Psychiatry at Harvard Medical School

Thursday, April 25, 2024
Naim Rashid

Grizzle Lecture Awardee
Associate Professor in the Department of Biostatistics at UNC’s Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center


Fall 2023 Seminars

Thursdays, 3:30 – 4:30 p.m.
Flyer distributed to students and posted below “just in time” will have necessary links / location info


Thursday, August 24, 2023
Dr. Tanya Garcia

Assistant Professor, UNC Chapel Hill, Biostatistics Department
How to More Effectively Engage with Highly Technical “Over-Your-Head” Seminar Talks


Thursday, August 31, 2023
Dr. Bianca Dumitrascu

Assistant Professor of Statistics and Herbert and Florence Irving
Assistant Professor of Cancer Data Research at Columbia University
Statistical machine learning for learning representations of embryonic development.


Thursday, Sep 7, 2023
Dr. Scott Linderman

Assistant Professor, Department of Statistics, Stanford University,
Research interests: machine learning, computational neuroscience, developing models and algorithms to better understand complex biological data.
Latent States of Brains and Behavior


Thursday, Sep 14, 2023
Dr. Linzhou Xue

Professor and Associate Director of the National Institute of Statistical Sciences, Department of Statistics, Penn State University
Research Interests: high-dimensional statistics, statistical machine learning, nonparametric statistics, optimization, statistical application in biomedical science, business analytics, and public health.
Dimension Reduction for Fréchet Regression


Thursday, September 21, 2023
Antonio Carlos Pedroso de Lima, PhD

Associate Professor III in the Department of Statistics at the University of São Paulo, Brazil
Impact of Covid-19 on Bloodstream Infections: A Segmented Regression Approach


Thursday, September 28, 2023
Emily H. Griffith, PhD

Associate Professor of the Practice Department of Statistics North Carolina State University
Weaving Ideas Together: Training the Next Generation of Collaborative Statisticians


Thursday, October 5, 2023
Dr. Zheng (Tracy) Ke

Associate Professor, Department of Statistics, Harvard University
Research Interests: high-dimensional statistics, machine learning, social network analysis, text mining, bioinformatics and statistical genetics.
Recent Advances in Text Analysis


Thursday, October 26, 2023
Dr. Ana-Maria Staicu

Professor, Department of Statistics, North Carolina State University
Research Interests: Functional data analysis, longitudinal data analysis, nonparametric statistics, and brain imaging analysis.
Cancer Screening of Histopathology Images of Prostate Tissue with Functional Data Analysis


Thursday, November 2, 2023
Dr. Elizabeth (Betz) Halloran

Professor and Head of Biostatistics, Bioinformatics, and Epidemiology, Vaccine and Infectious Disease Division, Fred Hutch
Research Interests: using mathematical and statistical methods to study infectious diseases, pioneer in the design and analysis of vaccine studies.
Estimating Population Effects of Pertussis Vaccination using Routinely Collected Data


Thursday, November 9, 2023
Dr. JieBiao Wang

Assistant Professor, Department of Biostatistics,, University of Pittsburgh
Research Interests: high-dimensional genomics data with cell-type heterogeneity, clustered structure, and missing values; machine learning, epigenetics/proteomics data, applications to Alzheimer’s disease, psychiatry, asthma.
Cellular deconvolution with single-cell DNA methylation and RNA sequencing references


Thursday, November 16, 2023
Dr. John Kornak

Professor, Department of Epidemiology and Biostatistics, UC San Francisco
Research Interests: Bayesian image analysis in Fourier space, Bayesian reconstruction of magnetic resonance imaging, statistical image analysis, Bayesian statistics, spatial statistics.
Modeling Longitudinal Trajectories of Dementia Brain Changes


Thursday, November 30, 2023
Dr. Russell, Shinohara

Professor, Department of Biostatistics, University of Pennsylvania
Research Interests: Biostatistics, image analysis, multiple sclerosis, neurology, neurodevelopment, pharmacoepidemiology, psychiatry, public health, radiology.
Harmonizing Neuroimaging Data Acquired in Multi-center Studies of Human Health.


Spring 2023 Seminars

January 12, 2023
Jingshu Wang, PhD

University of Chicago
Mendelian Randomization for Causal inference of heritable phenotypic risk factors

January 19, 2023
Martin Zhang, PhD

Harvard T.H. Chan School of Public Health
Computational methods to decipher human disease using GWAS and functional genomics

January 26, 2023
Kevin Lin, PhD

The Wharton School of the University of Pennsylvania
CCA: Quantifying common and distinct information in multi-modal single-cell data via matrix factorization

January 30, 2023
Aditya Mishra, PhD

University of Texas MD Anderson Cancer Center
On Sparse and Low-Rank Multivariate Models for Integrative Statistical Learning

February 2, 2023
Xihao Li, PhD

Harvard T.H. Chan School of Public Health
Statistical methods for integrative analysis of large-scale whole-genome sequencing studies.

February 8, 2023
Yusha Liu, PhD
University of Chicago Department of Human Genetics
A flexible model for correlated count data, with application to analysis of gene expression differences in multi-condition experiments

February 9, 2023
Ye Zheng, PhD

Fred Hutchinson Cancer Center
Statistical modeling for single-cell multi-omics integration: a case study in CAR-T cell immunotherapy.

February 13, 2023
Xia Lu, PhD Post-Doctoral Scholar
University of Washington Department of Biostatistics
Reliable High-dimensional Inference Beyond Linear Regression: Challenges and Opportunities (PDF)

February 16, 2023
Jinchi Lv, PhD
University of Southern California
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors

February 23, 2023
Ethan Fang, PhD
Duke University
Inference for Ranking Problems

March 2, 2023
Yuchao Jiang, PhD

University of North Carolina Chapel Hill
Statistical and Computational Methods for Single-Cell Integrative Genomics

March 9, 2023
Anru Zhang, PhD

Duke University
Tensor Learning in 2020s: Methodology, Theory, and Applications

March 23, 2023
Bin Nan, PhD

Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event
University of California, Irvine

March 30, 2023
Ana M. Ortega-Villa, PhD

The mechanistic Analysis of Founder Virus Data in Challenge Models
National Institute of Allergy and Infectious Diseases

April 13, 2023
Paul Stuart Albert, PhD

Estimating Interactions in Chemical Mixtures: Case Studies from Cancer Epidemiology
National Cancer Institute, Division of Cancer Epidemiology and Genetics

April 20, 2023
Statistical learning with neuroimaging for reliable mapping of human brain connectome
Ying Guo, PhD
Emory University

April 27, 2023
Soyoung Kim, PhD

Improving estimation efficiency for left-truncated competing risks regression under the case-cohort study design.
Medical College of Wisconsin

Fall 2022 Seminars

Thursdays, 3:30 – 4:30 p.m.
Flyer distributed to students and posted below “just in time” will have necessary links / location info

August 18, 2022
Jean Fan, PhD
Johns Hopkins University
Towards a Common Coordinate Framework: Comparative Analysis of Spatially Resolved Transcriptomics Data (PDF)

August 25, 2022
Malik Yousef, PhD
Zefat Academic College, Israel
The G-S-M, Grouping, Scoring and Modeling Approach. Application of Biological Domain Knowledge for Groups Selection on Gene Expression Data (PDF)

September 1, 2022
Dr. Heather Krause
PStat, Founder of Datassist and We All Count
Who is the Data Privileged Person? (PDF)

September 8, 2022
Dr. Kathy Ensor

Community Analytics and the Value of University/City Partnerships (PDF)

September 15, 2022
Dr. Whitney Robinson

Teaching yourself about structural racism will improve your machine learning (PDF)

September 22, 2022
Dr. Natalie Dean
Clinical Trials in the Emerging Infectious Disease Setting (PDF)

September 29, 2022
Dr. Eric Tchetgen Tchetgen
Negative Control Methods to De-bias Test-Negative Design Studies of COVID-19 Vaccine Effectiveness (PDF)

October 6, 2022
Dr. Stefan Wager
Noise-Induced Randomization in Regression Discontinuity Designs (PDF)

October 13, 2022
Dr. Xiao-Li Meng
Harvard University
Bayesian Inference with Incomplete Likelihood or Prior: Employing Quick-and-Dirty Bayes Theorems and Prior Impact Assessments (PDF)

October 20, 2022
Fall Break

October 27, 2022
Dr. Jing Lei
A Conformal-Based Two-Sample Conditional Distribution Test (PDF)

November 3, 2022
Dr. Xiao Wang
Challenges in Latent Variable Models and Generative Models (PDF)

November 10, 2022
Dr. Peter Gilbert

Assessment of Immune Marker Surrogate Endpoints in COVID-19 Vaccine Efficacy Trials: Pursuit through Multiple Causal Inference Approaches (PDF)

November 17, 2022
Michael R. Kosorok, PhD

Off-Policy Reinforcement
Learning for Survival data (PDF)

November 24, 2022
Thanksgiving


Spring 2022 Seminars

Thursdays, 3:30 – 4:30 p.m.
Flyer distributed to students and posted below “just in time” will have necessary links / location info

 

May 12 & 13, 2022 – Greenberg Lecture Series
Andrew Gelman, PhD
Professor, Department of Statistics and Department of Political Science, Columbia University
Details for the three lectures(PDF)

April 21, 2022
Qiang Sun, PhD
Assistant Professor, Department of Statistics, University of Toronto
From minimal norm solutions to ensemble learning: A prototypical study(PDF)

April 7, 2022
Hongtu Zhu, PhD
Professor, Department of Biostatistics, Gillings School of Global Public Health, UNC – Chapel Hill
Challenges in Biobank-scale Brain Imaging Genetics(PDF)

March 31, 2022
Ivan Chan, PhD
VP and Head of Hematology Biostatistics, Global Biometrics & Data Sciences at Bristol Myers Squibb
Challenges and Opportunities in Dose Optimization for Oncology Drug Development (PDF)

March 24, 2022
Olga Marchenko, PhD
Executive Director, Head of Therapeutic Area Statistics in Pulmonology, Anti-Infectives, Ophthalmology, and Women’s Health at Bayer
Roles and Responsibilities of Statisticians in the Pharmaceutical Industry (PDF)

March 10, 2022
Layla Parast, PhD
Associate Professor, Department of Statistics and Data Sciences, University of Texas at Austin
Testing for Heterogeneity in the Utility of a Surrogate Marker (PDF)

March 3, 2022
Dean Follmann, PhD
Assistant Director for Biostatistics, National Institutes of Health (NIH)
Statistical Issues in COVID-19 Vaccine Trials The Past and The Future (PDF)

February 24, 2022
Xin Zhang, PhD
Research Scientist at Meta (Facebook)
Adaptive Spanning Tree/Forest-based Lasso: Learning Model Heterogeneity in the Spatial Network (PDF)

February 17, 2022
Didong Li, PhD
Postdoctoral Research Associate, Department of Computer Science, Princeton University
Multi-group Gaussian Processes (PDF)

February 10, 2022
Mark Levenson, PhD
Director of the Division of Biometrics VII, FDA
Statistical Initiatives at the US FDA Center for Drug Evaluation and Research (PDF)

February 3, 2022
Weijie Su, PhD
Assistant Professor of Statistics and Data Science, University of Pennsylvania
Gaussian Differential Privacy (PDF)

January 27, 2022 – Virtual
Laura A. Hatfield, PhD
Associate Professor of Health Care Policy, Biostatistics, Department of Health Care Policy, Harvard Medical School
Internal versus external comparison groups for difference-in-differences studies (PDF)

January 20, 2022 – Virtual
Frank Harrell, PhD
Professor of Biostatistics, Vanderbilt University
Controlling α vs.Probability of a Decision Error (PDF)

January 13, 2022 – Virtual
Danyu Lin, PhD
Dennis Gillings Distinguished Professor, Department of Biostatistics, Gillings School of Global Public Health, UNC – Chapel Hill
Durability of Covid-19 Vaccines and Timing of Boosters (PDF)


Fall 2021 Seminars

Thursdays, 3:30 – 4:30 p.m.
If format is Remote/Virtual (flyer distributed to students and posted “just in time” below will have necessary links)

November 11, 2021 – Special Location: 133 Rosenau Hall
Karen Messer, PhD
Professor of Family Medicine and Public Health, University of California San Diego
Efficient doubly robust imputation for longitudinal dropout with an application to an Alzheimer’s clinical trial (PDF)

November 4, 2021 – Special Location: 133 Rosenau Hall
Sarah C. Lotspeich, PhD
Postdoctoral Fellow, Department of Biostatistics, Gillings School of Global Public Health, UNC – Chapel Hill
Getting thrifty with data quality: Efficient two-phase designs for error-prone data (PDF)

October 28, 2021 – Special Location: 133 Rosenau Hall
Yanyuan Ma, PhD

Professor, Department of Statistics, Penn State University
Network Functional Varying Coecient Model (PDF)

October 14, 2021 – Special Location: 133 Rosenau Hall
Ciprian Crainiceanu, PhD

Professor, Department of Biostatistics, Johns Hopkins University
Biostatistical Methods for Wearable Devices with Applications to NHANES and UK Biobank (PDF)

October 7, 2021 – Special Location: 133 Rosenau Hall
Oscar Hernan Madrid Padilla, PhD

Assistant Professor of Statistics, UCLA
Learning Gaussian DAGs from Network Data.(PDF)

September 30, 2021 – Special Location: 133 Rosenau Hall
Elizabeth L. Ogburn, PhD

Associate Professor Department of Biostatistics, Johns Hopkins University
Disentangling Confounding and Nonsense Associations due to Dependence (PDF)

September 23, 2021 – Special Location: 133 Rosenau Hall
Kevin Anstrom, PhD

Department of Biostatistics & Bio-informatics, Duke University Director of Biostatistics at Duke Clinical Research Institute (DCRI)
Heart Failure Network – The Journey of a Coordinating CenterIncorporating (PDF)

September 16, 2021
Scarlett Bellamy, ScD

Professor of Epidemiology and Biostatistics and Associate Dean for Diversity, Inclusion and Faculty Development Drexel University
Incorporating Diversity, Equity, and Inclusion Principles in Biostatistics Courses: Two Case Studies (PDF)

September 9, 2021
Ying Nian Wu, PhD

Professor of Statistics, University of California Los Angeles
Representational Learning and Grid Cells (PDF)

September 2, 2021
Mark van der Laan, PhD

Professor of Statistics, University of California Berkeley
Higher Order Targeted Maximum Likelihood Estimation (PDF)

August 26, 2021
Lina Montoya, PhD

Postdoctoral Fellow Department of Biostatistics, Gillings School of Global Public Health, UNC – Chapel Hill
Optimal Dynamic Treatment Rule Estimation and Evaluation with Application to Criminal Justice Interventions in the United States (PDF)

August 19, 2021
Tanya P. Garcia, PhD  
Associate Professor of Biostatistics, Department of Biostatistics, Gillings School of Global Public Health, UNC – Chapel Hill
How to More Effectively Engage with Highly Technical “Over-Your-Head” Seminar Talks (PDF)

 


Spring 2021 Seminars

Thursdays, 3:30 – 4:30 p.m.
Remote/Virtual (flyer distributed and posted below has necessary link)

April 29, 2021
Department of Biostatistics Awards Day
Seminar Speaker: 2020 James E Grizzle Alumni Awardee Yijuan Hu, PhD
Associate Professor of Biostatistics and Bioinformatics, Emory University
Robust Testing for Differential Abundance in Microbiome Data (PDF)

April 22, 2021
Jonathan Wakefield, PhD
Professor of Statistics and Biostatistics, University of Washington
Small Area Estimation in Low- and Middle-Income Countries (PDF)

April 15, 2021
Richard J. Cook, PhD
Professor of Statistics, University of Waterloo
Defining and Addressing Dependent Observation Schemes in Life History Studies (PDF)

April 8, 2021
Donna Spiegelman, PhD
Susan Dwight Bliss Professor of Biostatistics, School of Public Health, Yale University
Towards a Unified Methodology of Study Design and Statistical Analysis for Causal Inference in Implementation Science (PDF)

April 1, 2021
Jinbo Chen, PhD
Professor of Biostatistics, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania
Addressing Phenotyping Inaccuracy in the Analysis of EHR-Based Case-Control Studies (PDF)

March 25, 2021
Sunduz Keles, PhD
Professor, Department of Statistics, Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison
Identifying Effector Genes of Human GWAS Variants by INFIMA (PDF)

March 18, 2021
Xiang Zhou, PhD
Associate Professor of Biostatistics School of Public Health, University of Michigan
Statistical Analysis of Spatial Expression Pattern for Spatially Resolved Transcriptomic Studies (PDF)

March 4, 2021
Christina Kendziorski, PhD
Professor, Biostatistics and Medical Informatics, School of Medicine and Public Health, University of
Wisconsin-Madison
Statistical Methods for Single-cell and Spatial RNA-seq (PDF)

February 25, 2021
Richard C. Zink, PhD
Vice President of Data Management, Biostatistics, and Statistical Programming at Lexitas Pharma Services, Inc.
It Is Never Too Early To Think About Statistical Leadership (PDF)

February 18, 2021
Lina Montoya, PhD
Postdoctoral Fellow at Gillings School of Global Public Health, UNC – Chapel Hill and University of California at Berkeley
Optimal Dynamic Treatment Rule Estimation and Evaluation with Application to Criminal Justice Interventions in the United States (PDF)

February 11, 2021
Ashley Petersen, PhD
Assistant Professor, Division of Biostatistics, University of Minnesota
Data-Adaptive Regression Modeling in High Dimensions (PDF)

February 4, 2021
Tyler VanderWeele, PhD
Professor of Epidemiology in the Departments of Epidemiology and Biostatistics, at the Harvard T.H. Chan School of Public Health
Sensitivity Analysis in Observational Research: Introducing the E-Value (PDF)

January 28, 2021
Sharon Browning, PhD
Research Professor, Biostatistics, University of Washington
Population Genetics Inference Using Segments of Identity by Descent (PDF)

January 21, 2021
Devan Mehrotra, PhD

Vice President, Biostatistics, at Merck Research Laboratories (MRL)
Survival Analysis Using a 5-STAR Approach in Randomized Clinical Trials (PDF)

 


Fall 2020 Seminars

Thursdays, 3:00 – 4:00 p.m.
Remote/Virtual (flyer distributed and posted below has necessary link)

November 12, 2020
Sandra Safo, PhD
Assistant Professor in Division of Biostatistics, University of Minnesota
Joint Nonlinear Association and Prediction of Multi-view Data (PDF)

November 5, 2020
Yingqi Zhao, PhD (2020 Grizzle Alumni Awardee)
Associate Professor, Public Health Sciences Division, Fred Hutch
Estimation and Inference on Individualized Treatment Rule in Observational Data (PDF)

October 29, 2020
Barbara Engelhardt, PhD
Associate Professor, Dept. of Computer Science, Princeton University
Discovering How Complex Traits Are Regulated Using Unsupervised Learning (PDF)

October 22, 2020
Ken Rice, PhD
Professor, Department of Biostatistics, University of Washington
Knowing The Signs: Simpler Ways To Think About P-values, and Much Else (PDF)

October 15, 2020
Lorin Crawford, PhD
RGSS Assistant Professor, Center for Statistical Sciences and Center for Computational Molecular Biology at Brown University
Statistical Frameworks for Mapping 3D Shape Variation onto Genotypic and Phenotypic Variation (PDF)

October 8, 2020
Matthew Stephens, D.Phil.
Professor in Statistics and Human Genetics, University of Chicago
Adventures in Sparsity and Shrinkage with the Normal Means Model (PDF)

October 1, 2020
Haiyan Huang, PhD
Professor, Dept. of Statistics; Director, Center for Computational Biology, University of California, Berkeley
Inferring Gene Interactions and Functional Modules Beyond Standard Statistical Models (PDF)

September 24, 2020
Bhramar Mukherjee, PhD
John D. Kalbfleisch Collegiate Professor and Chair, Dept. of Biostatistics; Professor, Dept. of Epidemiology, University of Michigan (UM) School of Public Health
Handling Sampling and Selection Bias in Association Studies Embedded in Electronic Health Records (PDF)

September 17, 2020
Bradley Saul, DrPH
Lead Statistician, NoviSci
Functional Programming for High Functioning Statisticians (PDF)

September 10, 2020
Noah Simon, PhD
Associate Professor, Biostatistics, University of Washington
Reframing Proportional-Hazards Modeling for Large Time-To-Event Datasets with Applications to Deep Learning (PDF)

September 3, 2020
Jonathan Schildcrout, PhD
Department of Biostatistics, Vanderbilt University Medical Center
Efficient Epidemiological Study Designs for Quantitative, Multivariate Longitudinal Data (PDF)

August 27, 2020
Aaditya Ramdas, PhD
Assistant Professor, Departments of Statistics and Machine Learning, Carnegie Mellon University
Online Multiple Hypothesis Testing (PDF)

August 20, 2020
Irina Gaynanova, PhD
Assistant Professor in the Department of Statistics at Texas A&M University
Truncated Latent Gaussian Copula Model for Zero-Inflated Data (PDF)

 


Spring 2020 Seminars

Thursdays, 3:30 – 4:30 p.m.
Blue Cross and Blue Shield of North Carolina Foundation Auditorium (0001 Michael Hooker Research Center)

April 23, 2020
Michael Love, Dr. rer. nat
Assistant Professor, Department of Biostatistics, Gillings School of Global Public Health, UNC – Chapel Hill
Avoiding Two Pitfalls In Data Analysis Of Gene Expression (PDF)
Zoom Meeting Link Available Here


April 16, 2020
Feng-Chang Lin, PhD
Associate Professor, Department of Biostatistics, Gillings School of Global Public Health, UNC – Chapel Hill
Working As A Biostatistician: My Life In the North Carolina Translational and Clinical Science Institute (PDF)
Zoom Meeting Link Available Here


April 9, 2020
Allison J.B.Chaney, PhD
Assistant Professor of Marketing, Fuqua School of Business, Duke University
Nonparametric Deconvolution Models (PDF)
Zoom Meeting Link Available Here


April 2, 2020
Simon Mak, PhD
Assistant Professor of Statistical Science, Trinity College of Arts and Sciences, Duke University
Function-On-Function Kriging, With Applications To 3D Printing Of Aortic Tissues (PDF)
Zoom Meeting Link Available Here


March 26, 2020
Whitney Robinson, PhD
Associate Professor, Department of Epidemiology, Gillings School of Global Public Health, UNC – Chapel Hill
“Not That Kind of Epidemiologist”: The Value of Social and Chronic Disease Epidemiology in Data Science (PDF)
Zoom Meeting Link Available Here


March 5, 2020
Lynn Lin, PhD
Assistant Professor, Department of Statistics, Penn State
Validation and Annotation for Single-Cell Data Clustering (PDF)


February 27, 2020
Fang K. Chen, PhD
Director, Advanced Statistical Methods, SAS Institute
Development of Bayesian Software in SAS (PDF)


February 20, 2020
David Page, PhD
Chair of Biostatistics and Bioinformatics, Duke University
Probably Approximately Correct Causal Discovery (PDF)


February 13, 2020
Stephanie C. Hicks, PhD
Assistant Professor Bloomberg School of Public Health, Johns Hopkins University
More (Single-Cell) Data, More (Statistical) Problems (PDF)


February 6, 2020
Emery N. Brown, PhD
Edward Hood Taplin Professor of Medical Engineering and of Computational Neuroscience, Massachusetts Institute of Technology
Uncovering the Mechanisms of General Anesthesia: Where Neuroscience Meets Statistics (PDF)


January 30, 2020
David B. Dunson, PhD
Arts and Sciences Distinguished Professor of Statistical Science, Duke University
Learning and Exploiting Low-dimensional Structure in High-dimensional Data (PDF)


January 23, 2020
Peter D. Hoff, PhD
Professor of Statistical Science, Trinity College of Arts & Sciences, Duke University
Smaller P-values and Shorter Confidence Intervals Via Information Sharing (PDF)


January 16, 2020
Colin Begg, PhD
Chairman, Attending Biostatistician Memorial Sloan Kettering Cancer Center, The Colin Begg Lab, Department of Epidemiology and Biostatistics, Sloan Kettering Institute
Some Statistical Problems Involving Rare Somatic Mutations (PDF)


January 9, 2020
Chiara Sabatti, PhD
Professor of Biomedical Data Science and of Statistics, Stanford Center for Computational, Evolutionary and Human Genomics, Stanford University
Knockoff Genotypes: Value In Counterfeit (PDF)

 


Fall 2019 Seminars

November 21, 2019
Susan A. Murphy, PhD
Radcliffe Alumnae Professor at the Radcliffe Institute for Advanced Study, Professor of Statistics and of Computer Science, Harvard University
Challenges in Developing Learning Algorithms to Personalize Treatment in Real Time (PDF)


November 14, 2019
Junier Oliva, PhD
Assistant Professor, Department of Computer Science, UNC – Chapel Hill
Deep Generative Models for Density Estimation and Beyond (PDF)


November 7, 2019
Erica Moodie, PhD
Associate Professor, Department of Epidemiology, Biostatistics, and Occupational Health, McGill University,
Montreal, Canada
Doubly Robust Estimation of Adaptive Treatment Strategies through Weighted Regression (PDF)


October 31, 2019
Rebecca A. Betensky, PhD
Professor and Chair of the Department of Biostatistics, College of Global Health, NYU
Difficulties with p-values in Diverse Data Settings (PDF)


October 24, 2019
Di Wu, PhD
Assistant Professor, Department of Biostatistics, Gillings School of Global Public Health and School of Dentistry, UNC – Chapel Hill
Transcriptional gene set tests and microbial omics data analysis (PDF)

Matthew Biggs, PhD
Adjunct Assistant Professor, Department of Biostatistics, Gillings School of Global Public Health, UNC – Chapel Hill
Exploration in rugged landscapes: genomics-guided discovery (PDF)


October 10, 2019
Susan Shortreed, PhD
Senior Investigator, Kaiser Permanente Washington Health Research Institute
Improving the design of pragmatic clinical trials with real-world data (PDF)


October 3, 2019
Edward Kennedy, PhD
Assistant Professor, Department of Statistics and Data Science, Carnegie Mellon University
Nonparametric Causal Effects Based on Incremental Propensity Score Interventions (PDF)


September 26, 2019
William Barry, PhD
Senior Research Scientist, Rho, Inc
Data Monitoring Committees: Deciding What’s Out-of-Bounds For a Clinical Trial Sponsor (PDF)


September 19, 2019
Lukas Biewald
CEO and co-founder of Weights & Biases, and founder of Figure Eight/CrowdFlower
Visualization and tracking of hyperparameters during training of deep learning models (PDF)


September 12, 2019
Suprateek Kundu, PhD
Assistant Professor, Department of Biostatistics, Emory University
Estimating Dynamic Brain Functional Networks Using Multi-Subject fMRI Data (PDF)


September 5, 2019
David Vock, PhD
Associate Professor, Division of Biostatistics in School of Public Health, University of Minnesota
Statistical Methods for Regulatory Tobacco Research (PDF)


August 29, 2019
Cynthia D. Rudin, PhD
Professor of Computer Science, Associate Professor of Electrical and Computer Engineering, of Mathematics and of Statistical Science, Duke University
Interpretable Machine Learning: Optimal Decision Trees and Optimal Scoring Systems (PDF)


August 22, 2019
Susan Holmes, PhD
Professor of Statistics, Stanford University
Robust methods for heterogeneous data collected in studies of the human microbiome (PDF)



Spring 2019 Seminars

Thursdays, 3:30 – 4:30 p.m.
Blue Cross and Blue Shield of North Carolina Foundation Auditorium (0001 Michael Hooker Research Center)



January 10, 2019

Robert Gentleman, PhD
V.P. of Computational Biology, Leading Computational Biology and Informatics,at 23andMe
Using genetic data to identify potential causal disease genes (PDF)


January 17, 2019
Xinyi Li, PhD
Postdoctoral Fellow at SAMSI Sparse Learning for Image-on-Scalar Regression with Application to Imaging Genetics Studies (PDF)


January 24, 2019
Andrew Gordon Wilson, PhD
Assistant Professor, Cornell University
Uncertainty, Loss Valleys, and Generalization in Deep Learning (PDF)


January 31, 2019
Jonathan Berg, PhD
Associate Professor, Department of Genetics, UNC-Chapel Hill
Berg Bio (PDF)


February 5, 2019
Hongtu Zhu, PhD
Professor, Department of Biostatistics, Gillings School of Global Public Health, UNC – Chapel Hill
Modern Statistical Methods in Ride-sharing Platforms and other IT companies (PDF)


February 7, 2019
Subhajit Dutta, PhD
Visiting Professor in Biostatistics at UNC, and Assistant Professor, Department of Mathematics and Statistics at The Indian Institute of Technology, Kanpur, India
Adjustments of some distance based classifiers in HDLSS settings (PDF)


February 14, 2019
Leslie McClure, PhD, MS
Professor and Chair of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University
A Post-Hoc Evaluation of a Sample Size Re-Estimation: The SPS3 Experience (PDF)


February 21, 2019
Kai Zhang, PhD
Assistant Professor
Dept. of Statistics and Operations Research, UNC-Chapel Hill
BET on Independence (PDF)


February 28, 2019
Nathan Kallus, PhD
Assistant Professor of Operations Research and Information Engineering at Cornell University and Cornell Tech
Confounding-Robust Policy Improvement (PDF)


March 7, 2019
Chuanhai Liu, PhD
Professor of Statistics, Purdue University
A Multithreaded and Distributed R for Big Data Analysis (PDF)


March 21, 2019
Nancy Zhang, PhD
Professor of Statistics in The Wharton School, University of Pennsylvania
Transfer Learning in Single Cell Transcriptomics (PDF)


March 28, 2019
Gang Li, PhD
Professor of Biostatistics and Biomathematics, School of Public Health, University of California, Los Angeles
A Scalable L0-Based Sparse Regression Method for Large-Scale Competing Risks Data (PDF)


April 4, 2019
Jan Hannig, PhD
Professor, Department of Statistics and Operations Research, UNC-Chapel Hill
Data Integration Via Analysis of Subspaces (DIVAS) (PDF)


April 11, 2019
Shuangge Ma, PhD
Professor of Biostatistics, Yale School of Public Health
Pan-disease Clustering Analysis of the Trend of Period Prevalence (PDF)


April 18, 2019
Stephen Cole, PhD
Professor, Department of Epidemiology, Gillings School of Global Public Health, UNC – Chapel Hill
Bounds and Estimators for the Risk Function (PDF)


April 25, 2019
Jamie Perin, PhD, James E. Grizzle Distinguished Alumni Award Recipient
Predicting Child Mortality by Cause in High Mortality Countries with the Bayesian lasso (PDF)


Fall 2018 Seminars

August 23, 2018
Hongkai Ji, PhD
Professor
Dept of Biostatistics
Johns Hopkins
Bloomberg School of Public Health
Global prediction of gene regulatory landscape using gene expression


August 30, 2018
Rina Foygel Barber, PhD
Associate Professor
Dept of Statistics
University of Chicago
Permutation tests in the presence of confounders


September 6, 2018
Sheng Zhong, PhD
Professor
Dept. of Bioengineering
University of California at San Diego
Rainbow-seq: combining cell lineage tracking with single-cell RNA sequencing in preimplantation embryos


Postponed – will be rescheduled
Nancy Zhang, PhD
Professor
Dept of Statistics
University of Pennsylvania
Transfer learning and Data Alignment in Single Cell Transcriptomics


September 20, 2018
Faming Liang, PhD
Professor
Dept. of Statistics
Purdue University
An Imputation-Consistency Algorithm for Biomedical Complex Data Analysis


September 27, 2018
Dean Eckles, PhD
Assistant Professor
Dept of Marketing
MIT Sloan School of Management
Evaluating stochastic seeding strategies in networks


October 4, 2018
Lurdes Inoue, PhD
Associate Chair & Professor
Dept of Biostatistics
University of Washington School of Public Health
Bayesian Statistical Modeling of Disease Progression


October 11, 2018
Lee-Jen Wei, PhD
Professor
Dept of Biostatistics
Harvard T H Chan School of Public Health
Moving beyond the comfort zone in practicing translational statistics for clinical studies


October 18, 2018
Fall Break


October 25, 2018
Peter X.K. Song, Ph.D.
Professor
Dept of Biostatistics
University of Michigan School of Public Health
HASS: Hybrid Algorithm for Subgroup Search via ADMM and EM Algorithms


November 1, 2018
Stefan Wager, PhD
Assistant Professor
Dept of Operations, Information, and Technology
Stanford University School of Business
Efficient Policy Learning


November 8, 2018
Nilanjan Chatterjee, PhD
Bloomberg Distinguished Professor
Dept of Biostatistics
Johns Hopkins Bloomberg School of Public Health
Leveraging Polygenic Architecture of Complex Traits to Inform Biology, Causality and Prediction


November 15, 2018
Ying Zhang, PhD
Professor
Dept of Biostatistics, School of Public Health, Indiana University
Semiparametric Analysis of Longitudinal Data Anchored by Interval-Censored Events


November 22, 2018
Thanksgiving


November 29, 2018
Lei Liu, PhD, Professor
Division of Biostatistics, Washington University School of Medicine in St. Louis
Testing mediation effect in high-dimensional compositional microbiome data

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