Cohort 2: 2017-2018

Aaron Stern

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

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...

Cameron Adams

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.

Ivana Malenica

Ivana is a Ph.D. student in the U.C. Berkeley Biostatistics Division, working with Alan Hubbard and Mark van der Laan. She earned her Master's in Biostatistics and Bachelor's in Mathematics, and spent some time at the Translational Genomics Research Institute. Some of her prior work includes mathematical modeling, Bayesian models for allele specific expression and time-series models for genomics data.
Broadly, her research interests span Machine Learning, Causal Inference, high-dimensional data, and semiparametric theory. Some of her current work has been centered...

Jonathan Levy

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.

​Nima Hejazi

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...