Conferences & Events
General Event Room Location Legend
- ACB1.2345 is the Telehealth Conference Room on the first floor of the Ambulatory Clinic Building / Lowry and Peggy Mays Clinic
- ACB1.2325 is a room adjacent to the Telehealth Conference Room
- CPB8.3059 is a conference room on the eighth floor of the Cancer Prevention Building / Dan L. Duncan Building
- FC1.2002 is the AT&T Classroom on the first floor of the John Mendelsohn Faculty Center
- FCT conference rooms are in the T. Boone Pickens Academic Tower
Guest Seminars
Upcoming Seminars
October 31, 2024
11 a.m. to 12:30 p.m.
Hybrid: Herman Hall Auditorium in TMC3 and via Zoom
Bin Yu, Ph.D.
Statistics, EECS, CompBio, and Simons Institute
UC Berkeley
Veridical data science and alignment in medical AI
For those who are not affiliated with MD Anderson but are interested in our visiting guest lectures, please send an email with your name, affiliation and email address to Aurora Callado at AAcevedo1@mdanderson.org.
Past Seminars
October 22, 2024
Christina Yap, Ph.D.
Professor and Group LeaderClinical Trials and Statistics Unit
The Institute of Cancer Research
Advancing Early Phase Dose-Finding Trials: Innovations in Methodological Approaches
October 15, 2024
Lang Wu, Ph.D.
Director of the Pacific Center for Genome Research at University of HawaiʻiAssociate Professor at the University of Hawaiʻi Cancer Center
Integration of multi-omics data in epidemiologic research
October 8, 2024
Lang Li, Ph.D.
Professor and ChairDepartment of Biomedical Informatics
The Ohio State University College of Medicine
Translational Pharmaco-informatics and Systems Biology in Cancer Research
June 4, 2024
Kerollos Wanis, M.D., Ph.D.
Fellow, Breast Surgical Oncology
The University of Texas MD Anderson Cancer Center
Causal effects of sustained treatments: beyond intention-to-treat and per-protocol effects
April 30, 2024
Mingyuan Zhou, Ph.D.
Associate Professor
The University of Texas at Austin
Score Identity Distillation: Exponentially Fast Distillation of Advanced Learning Health System Science in the Era of Digital Transformation and AI Pretrained Diffusion Models for One-step GenerationM
March 26, 2024
Hongfang Liu, Ph.D.
Professor
McWilliams School of Biomedical Informatics at UTHealth Houston
Advance Learning Health System Science in the Era of Digital Transformation and AI
February 27, 2024
Chengyue Wu, Ph.D.
Assistant Professor, Imaging Physics — Research
The University of Texas MD Anderson Cancer Center
Image-Guided Modeling for Patient-Specific Prediction and Optimization of Triple Negative Breast Cancer Response to Neoadjuvant Therapy
November 7, 2023
Nilanjana Laha, Ph.D.
Assistant Professor, Department of Statistics
Texas A&M University
Optimizing Dynamic Treatment Regimes via Smooth Surrogates
and
Haiyan Zheng, Ph.D.
Senior Lecturer in Statistics
University of Bath, UK
Design and analysis of clinical trials in small populations: what do we look towards?
December 14, 2022
Jingyi Jessica Li, Ph.D.
Professor, Department of Statistics (primary)
Departments of Biostatistics, Computational Medicine, and Human Genetics (secondary)
University of California, Los Angeles (UCLA)
Opening Black Boxes: Enhancing Statistical Rigor in Genomics Data Science
November 9, 2022
Yang Ni, Ph.D.
Assistant Professor, Department of Statistics
Texas A&M University
Causal Graphical Models for Discovering Gene Regulations
June 1, 2022
Erica E. M. Moodie, Ph.D.
Professor of Biostatistics
McGill University
Preserving privacy in estimating individualized treatment rules from distributed data collection sites
May 4, 2022
Peng Ding, Ph.D.
Associate Professor, Department of Statistics
University of California, Berkeley
To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates
February 9, 2022
Qingyuan Zhao, Ph.D.
Assistant Professor, Department of Pure Mathematics and Mathematical Statistics
University of Cambridge, Cambridge, UK
Mendelian randomization: Old and new insights