Friday, May 16 — 10:30 to 11:30 a.m.
Chair
Silvia Barcellos
University of Wisconsin–Madison
Silvia Helena Barcellos is an Associate Professor of Population Health Sciences and Public Affairs at UW-Madison. She is a health economist, and her work aims to understand the interplay between socio-economic status and health across the lifespan, with a focus on the role public policy plays on such relationships. One area of research investigates how education (and different educational policies) affects health, cognition, and SES at older ages, including how individual genetics shape such relationships.
Panelists
Dylan Steinecke
UCLA
Dylan Steinecke is a 5th-year PhD student in the Medical Informatics subfield of UCLA’s Bioinformatics PhD program. He has a B.S. in Biological Sciences with a concentration in Cellular & Molecular Biology, as well as minors in Math, Computer Science, and Economics. Dylan is working with the Social Science Genetic Association Consortium, co-advised by Professors Daniel Benjamin and Patrick Turley.
Presentation or paper
Precisely Estimating and Defining Heritability with Two Novel Sibling-Based Estimators: Within- and Between-Family Sibling Regression
Weilong Zhang
University of Cambridge
Dr. Weilong Zhang is an associate professor in the Faculty of Economics and a Fellow at Selwyn College, University of Cambridge. His research examines how genetic endowment and personality traits shape individual decision-making in both labor market participation and household dynamics. He is especially interested in incorporating genetic factors into economic models to improve our understanding of labor market and educational policies. He earned his Ph.D. in Economics from the University of Pennsylvania and holds a Master’s in Economics as well as a Bachelor’s in Mathematics from Renmin University of China. His work has been published in leading journals, including the Journal of Political Economy, Review of Financial Studies, Journal of Labor Economics, Quantitative Economics, and European Economic Review.
Presentation or paper
Genetic Endowments and Lifetime Earnings: Understanding the Mechanisms
Geyu Zhou
Purdue University
Geyu Zhou is an assistant professor in the Department of Biological Sciences and a member of social-genomics initiative at Purdue University. Previously, He received his PhD in computational biology and bioinformatics followed by a 2-year postdoc training from Yale University. His research focuses on developing and applying statistical methods to analyze genetic and genomic data.
Presentation or paper
Polygenic Prediction in Admixed Populations