Dr. Yosuke Tanigawa
Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology
Power of Inclusion: enhancing polygenic prediction with admixed individuals

Learning Objectives

  • Summarize recent methodological developments in polygenic score (PGS) research
  • Identify the caveats and limitations of existing approaches to PGS analysis of complex traits
  • Plan ways to improve the diversity and inclusion in study designs of human genetics studies

Speaker Bio

Dr. Yosuke Tanigawa is a postdoctoral at MIT’s Computational Biology Lab and develops statistical and computational methods for disease heterogeneity dissection, polygenic risk modeling, and therapeutic target discovery. He holds PhD in Biomedical Informatics from Stanford University and BS from the University of Tokyo. His recent works focus on the cellular and molecular basis of disease heterogeneity in Alzheimer’s disease and inclusive polygenic scores. He has received many awards for his research, including the Charles J. Epstein Trainee Award from the American Society of Human Genetics and MIT Technology Review’s Innovators Under 35 Japan Award. Personal website: https://yosuketanigawa.com/