Friday, May 16 — 9 to 10 a.m.
Chair
Qiongshi Lu
University of Wisconsin–Madison
Dr. Qiongshi Lu received his B.S. in mathematics from Tsinghua University in 2012 and Ph.D. in biostatistics from Yale University in 2017. He is currently an Associate Professor in the Department of Biostatistics and Medical Informatics and Director of the Genomic Sciences Training Program at University of Wisconsin-Madison. Dr. Lu’s research focuses on developing statistical 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
Matthew Howell
UCLA Anderson School of Management
Matthew Howell is mentored by Patrick Turley and Dan Benjamin at the Social Science Genetic Association Consortium (SSGAC). He graduated from UCLA with a BS in mathematics/economics, and he plans to pursue an economics PhD in the fall.
Presentation or paper
Using Offspring to Estimate Trajectories of Assortative Mating
Dhruva Jaishankar
Social Science Genetic Association Consortium
Dhruva Jaishankar holds a Master’s degree in Economics from the London School of Economics. He is currently working as a predoctoral research assistant at UCLA with the SSGAC.
Presentation or paper
Genomic-Relatedness Matching Expands Population Coverage, Improves Power and Reduces Bias in Genetic Association Analyses
Qiongshi Lu
University of Wisconsin-Madison
Dr. Qiongshi Lu received his B.S. in mathematics from Tsinghua University in 2012 and Ph.D. in biostatistics from Yale University in 2017. He is currently an Associate Professor in the Department of Biostatistics and Medical Informatics and Director of the Genomic Sciences Training Program at University of Wisconsin-Madison. Dr. Lu’s research focuses on developing statistical 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.
Presentation or paper
Genetic basis of partner choice