Panel session 3: Thursday, June 6 — 11:30 a.m. to 12:45 p.m.
Chair
Qiongshi Lu
University of Wisconsin–Madison
Qiongshi “Q” Lu received his BS in mathematics from Tsinghua University in 2012 and PhD in biostatistics from Yale University in 2017. In 2017, he was appointed in the Department of Biostatistics and Medical Informatics at University of Wisconsin–Madison. Dr. Lu’s research focuses on developing statistical and computational methods to study complex trait genetics. In particular, he is interested in noncoding genome annotation, genetic risk prediction, genetic correlation estimation, and gene-environment interaction.
Panelists
Leandro Carvalho
University of Southern California
Leandro Carvalho is an Associate (Research) Professor of Economics at the University of Southern California’s Center for Economic and Social Research (CESR). His areas of research are in behavioral economics, development economics, and social genomics. He studies among other things causes and consequences of poverty; the causal determinants of decision-making; and socioeconomic determinants of health. In social genomics, he is interested in how socioeconomic, behavioral, and health outcomes are causally impacted by the interplay between genetics and environment. His research has been published in the American Economic Review, The Journal of Political Economy, The Proceedings of the National Academy of Sciences, The Review of Economics and Statistics, Demography, and others. He holds a PhD in Economics from Princeton University and is originally from Rio de Janeiro, Brazil.
Presentation or paper
A chip off the old block? Genetics and the intergenerational transmission of SES
Qinwen Zheng
University of Wisconsin-Madison
Qinwen Zheng is a junior UW–Madison student majoring in math and data science. He joined Lu lab in 2022 summer. Qinwen is interested in using statistical methods to solve social genomic questions.
Presentation or paper
Genetic basis of partner choice
Matthew Howell
University of California, Los Angeles Anderson School of Management
Matthew is a predoctoral research assistant working for Patrick Turley and Dan Benjamin through the SSGAC. He is a recent graduate of UCLA with a BS in mathematics/economics and planning to begin a PhD in economics next year. As an undergraduate, he researched the impact of Alzheimer’s disease and related dementias on the U.S. long-term care market with Professor Kathleen McGarry. Now, he is helping to develop a new statistical method to measure assortative mating over time (AMAT).
Presentation or paper
Assortative Mating Across Time (AMAT)