jwrchen at stanford dot edu
ioannid at stanford dot edu
Alex is a PhD graduate of Stanford's Institute for Computational and Mathematical Engineering, where he teaches machine learning. As a current postdoctoral scholar in the Department of Biomedical Data Science, his research focuses on applying computational methods to problems in human population genetics. Prior to his PhD at Stanford, he worked in superconducting computing research at Northrop Grumman. He has a BA from Harvard in Chemistry and Physics and an MPhil in Computational Biology from the University of Cambridge.
arjha at stanford dot edu
Aashish is using population genomics to understand human evolutionary history and the role of microbiomes in several indigenous populations of Himalaya. By using a combination of statistical approaches to integrate linguistics, anthropology, and genomics, his work aims to understand the population dynamics, identify the genetic basis of human adaptations and phenotypic traits, and characterize the role of oral and gut microbiomes in diet-mediated adaptations across the Himalaya. He received his PhD from the University of Chicago, where he worked on experimental evolution of Drosophila melanogaster. He enjoys photography and spends his spare time hiking and traveling.
apopejoy at stanford dot edu
Alice is a public health geneticist and computational biologist, working at the intersections of evolutionary genomics, statistical genetics, and the ethical, legal, social implications (ELSI) of genomics research. Alice received her PhD in Public Health Genetics and Certificate in Statistical Genetics from the University of Washington, and a BA in Biology and French from Hamilton College. Her dissertation research on the evolution of photoreceptors in vertebrates, methods development in comparative evolutionary genomics, and tackling issues of diversity, race and ancestry in genomics, will remain part of Alice’s research moving forward. As a postdoctoral scholar in the Bustamante Lab, she is involved in several projects of the Clinical Genome Resource (ClinGen) consortium, including ancestry testing and patient communication in a clinical genomic setting.
