Thursday, May 15 — 9 to 10 a.m.
Chair

Corinne Engelman
University of Wisconsin–Madison
Corinne Engelman is Professor and Vice Chair of Population Health Sciences and Director of the graduate programs in Epidemiology and Population Health. Her research focuses on the study design and data analysis of genetic, demographic, socioeconomic, behavioral, physiological, and environmental factors of complex diseases, especially biomarkers and preclinical traits related to Alzheimer’s disease. Dr. Engelman’s group uses epidemiological, statistical, and bioinformatic approaches to analyze large-scale ‘omic data, including that from whole genome array genotyping; whole-genome sequencing; and metabolomic, lipidomic, and proteomic mass spectrometry. Her research integrates ‘omic and questionnaire data to understand, predict, prevent, and/or treat health conditions. Dr. Engelman is especially interested in identifying interactions with modifiable factors (e.g., social, behavioral, and environmental) to inform precision medicine and health.
Panelists

Tianyuan Lu
University of Wisconsin-Madison
Tianyuan Lu is an Assistant Professor in the Department of Population Health Sciences and the Department of Biostatistics and Medical Informatics at the University of Wisconsin-Madison. His research focuses on developing and implementing rigorous statistical genetics and genetic epidemiology methods to improve the prevention, diagnosis, and treatment of complex diseases, and translating research findings into new medical care approaches and therapies.
Presentation or paper
Gene-Environment Interactions Invalidate Genetic Instruments in Dose-Dependent Effect Characterization

Mahdi Mir
UCLA Anderson School of Management
Bio coming soon.
Presentation or paper
Reliability of imputed genotype data for family-based analyses

Chen-Yang Su
McGill University
Chen-Yang Su is a PhD student in Quantitative Life Sciences at McGill University and part of the Canada Excellence Research Chair in Genomic Medicine under the supervision of Prof. Satoshi Yoshiji and Prof. Sirui Zhou. Previously, he completed his M.Sc. (Computer Science, 2022) and B.Sc. (joint majoring in Biology and Computer Science, 2020) both at McGill University while being affiliated with the Lady Davis Institute at the Jewish General Hospital and Mila – Quebec AI Institute. During his MSc, he had the opportunity to work with proteomics and genomics in the context of COVID-19 under the supervision of Dr. Brent Richards (Faculty of Medicine; CEO of 5 Prime Sciences) and Joelle Pineau (Faculty of Computer Science; Vice President, AI research at Meta). He has worked in industry briefly as a data scientist and his current broader interests are in using multi-omics approaches (proteomics, genomics, metabolomics) for precision medicine and drug target discovery. During his spare time, he likes to workout, try new food, and read.
Presentation or paper
Disentangling Osteoarthritis-Specific Genetic Effects from Obesity to Identify Novel Therapeutic Targets