Aaron is a third-year PhD student advised by Prof. Rasmus Nielsen. He is a member of the graduate program in Computational Biology. Before Berkeley, Aaron received a B.Sc. in Engineering from Northwestern University. Aaron’s research interests include theoretical population genetics, statistical genetics, and applied statistics. Most recently, he has been developing new methods to detect beneficial alleles using haplotype data.
Alexander Brandt is a PhD student in Physical Chemistry in the Berkeley College of Chemistry, and is also working towards his Designated Emphasis in Computational and Genomic Biology. He graduated from the University of Chicago in 2012 with his B.S. in Chemistry and B.S. in Biochemistry. After a year at the National Institute of Health working with the Undiagnosed Diseases Program on the development of novel clinical genomics protocols, he joined the lab of Prof. Daniel Rokhsar where he focuses on the de novo assembly of genomes and transcriptomes, disease gene discovery, and statistical...
Cam is a Ph.D. student in Epidemiology working with Professor Lisa Barcellos. Prior to starting the doctoral program, he earned his Master of Public Health from the UC Berkeley School of Public Health and worked for the San Francisco Department of Public Health and San Francisco AIDS Foundation contributing to research on homeless health and HIV/Hep-C incidence and prevention. Current research interests include interactions between genomic and environmental exposures and identification of biologic pathways of autoimmune diseases.
Jonathan is a musician returning to his mathematical roots, pursuing a renaissance-view of marrying the endeavors of humanity in the face of practical specialization. His interests within biostatistics revolve around being an advocate for scientists who have critical questions and for those who need a voice from someone trained in the field of statistics, who will look at the science and literature as well as issues not related to science, to shed light on health issues, rather than simply taking refuge in the most highly promoted establishment views.
I received my Ph.D. from in the biostatistics department at UC Berkeley working with Mark van der Laan. Before that, I studied mathematics and worked as a Freeport-McMoRan research fellow at TGen. During my graduate studies, I was fortunate to serve as a BIDS Fellow...
Nima Hejazi is a PhD student in the Division of Biostatistics, advised jointly by Mark van der Laan and Alan Hubbard. He was awarded an M.A. in Biostatistics in 2017, and a B.A., with a triple major in Molecular & Cell Biology, Psychology, and Public Health in 2015, both by UC Berkeley. Nima's primary research interests lie at the interface of causal inference, non-parametrics and machine learning, and statistical computing; other related interests include survival analysis, applied statistics (and data science), and reproducible research. His work is generally motivated by...