jwrchen at stanford dot edu
ioannid at stanford dot edu
Alex graduated from Harvard in Chemistry and Physics and earned an MPhil in Computational Biology from the University of Cambridge. Prior to Stanford, he worked in superconducting computing research at Northrop Grumman. He is a PhD graduate of Stanford's Institute for Computational and Mathematical Engineering, where he teaches machine learning. As a current postdoctoral scholar, his research focues on applying computational methods to problems in human population genetics.
nilah at stanford dot edu
As part of the Clinical Genomics project, Nilah is developing new methods to interpret the pathogenicity of rare genetic variants from whole exome and whole genome sequencing studies. She received her PhD in Biophysics from Harvard University while working in the Biological Engineering department at MIT, where she developed methods for analyzing intracellular particle trajectories using Bayesian inference and hidden Markov models. Prior to her PhD, she worked as research director at the Jain Foundation, a private foundation focused on the rare genetic disease of dysferlinopathy, and held internships at the National Academy of Sciences and the journal Science. She also has an MPhil in Chemistry from the University of Cambridge and BA in Biochemical Sciences from Harvard College.
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.
arturolp at stanford dot edu
Arturo is a biomedical data scientist interested in cancer genomics. He received an MS and PhD in Biomedical Informatics from the University of Pittsburgh School of Medicine. His dissertation focused on machine learning methods for the identification of diagnostic markers in lung and breast cancer. Arturo is originally from Mexico, where he obtained a BS in Computer Science and an MS in Intelligent Systems from Tecnologico de Monterrey.
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.
gwojcik at stanford dot edu
Gen is a genetic epidemiologist interested in human-pathogen co-evolution. Specifically, she is interested in how host-pathogen interactions have shaped human genetics and how it can inform better treatment for infectious diseases, as well as vaccine development. She received an MHS in Human Genetics/Genetic Epidemiology, followed by a PhD in Epidemiology from Johns Hopkins University Bloomberg School of Public Health. Her dissertation work focused on the evaluation of secondary methods for genome-wide association studies, as well as the genetics underlying the infant response to oral poliovirus vaccine. She joined the Bustamante lab in January 2014, where she is focusing on genetic epidemiology across diverse populations as part of a large genetics consortium while continuing to examine the consequences of selective pressures that pathogens exert upon human populations.
