Aerial photo of the University of Wisconsin–Madison campus from Lake Mendota

The Advances in Social Genomics Conference 2024

GxE methods

Panel session 6: Friday, June 7 — 10:15 to 11:15 a.m.

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Portrait of James Li

James Li

University of Wisconsin–Madison

James Li is clinical psychological scientist with expertise in developmental psychopathology, quantitative methods, and statistical genetics. He received a BA in psychological and brain sciences from Johns Hopkins University and a PhD in clinical psychology from UCLA. Li’s research bridges clinical and diversity science, quantitative psychology, genomics, neuroscience, and developmental psychopathology to study the causes of neurodevelopmental and externalizing conditions, features, and behaviors, including ADHD, autism, conduct, and substance use.


Portrait of Wenmin Zhang

Wenmin Zhang

Montreal Heart Institute

Wenmin Zhang is a postdoctoral fellow at the Montreal Heart Institute. She obtained her PhD in Quantitative Life Sciences from McGill University. Her research focuses on developing robust, efficient, and interpretable statistical and machine learning methods to harness large-scale biomedical data to understand the multifactorial nature of complex diseases. She has been supported by an IVADO postdoctoral fellowship and the Fonds de recherche du Québec.

Presentation or paper

Accounting for effect heterogeneity in fine-mapping and improving power to detect gene-environment interactions with SharePro

Portrait of Marina Aguiar Palma

Marina Aguiar Palma

Vrije Universiteit Amsterdam

Marina Aguiar Palma is a postdoctoral researcher at the Vrije Universiteit Amsterdam. Her research lies in health economics, early childhood development, and development Economics, with papers using reduced-form and structural models. She has recently been trained in the analysis and integration of genetics and social-science datasets.

Presentation or paper

Multi-generational effects of dementia risk and onset on labour market outcomes and financial decision making

Portrait of Steven Lehrer

Steven Lehrer

Queen’s University

Steven Lehrer is a Professor of Economics at Queen’s University and a research associate at the National Bureau of Economic Research. His research focuses on using empirical methods to address topics in the health economics, economics of education and experimental economics literature. In addition, he has worked on several methodological projects that provide new methods to estimate causal effects, new algorithms within data science as well as discuss how to properly incorporate social media information in social science analysis. His research has been published in the Review of Economics and Statistics, Review of Economic Studies, American Political Science Review among other outlets. His work on genetic lotteries received the 2009 Victor R. Fuchs Research Award for his best paper with the potential to spawn new research in an underdeveloped area of health economics or health policy. He also serves as the editor of Canadian Journal of Economics.

Presentation or paper

An applied econometric assessment of polygenic indices