Graduate Student Research Coordinator

Seraphina Shi

Biostatistics

Seraphina Shi is currently a MA student in Biostatistics at the university of California, Berkeley, working/mentored by professors Alan Hubbard and Haiyan Huang. Her research interests primarily lie in longitudinal causal inference, variable importance in clinical applications, and precision medicine. Recent work has been in variable importance in clinical applications.

Shalika Gupta

Epidemiology

Shalika is an Epidemiology Ph.D. student advised by Professor Maya Petersen. She previously earned a B.S. in Environmental Sciences and an M.A. in Biostatistics from UC Berkeley. Prior to graduate school, Shalika worked as a research associate at the Public Health Institute’s Alcohol Research Group. As a graduate student, she worked on The Fit Study under the supervision of Professor Kristine Madsen. Her current research focuses on understanding the mechanisms by which the Sustainable East Africa Research in Community Health (SEARCH) trial impacted mother-to-child transmission of HIV...

Nikolina Walas

Environmental Health Sciences

Nikolina Walas is currently a Ph.D. student in Environmental Health Sciences at the UC, Berkeley, School of Public Health, mentored by Jay Graham. Her research interests primarily lie in environmental drivers of antimicrobial resistance transmission and innovative methods for genomic and serological epidemiology of infectious diseases. Her recent work investigated the role of plasmids in antimicrobial resistance gene transmission among clinically relevant E. coli in Alameda County, as well as the role of dog fecal contamination in environmental AMR transmission.

Wenxin Zhang

Biostatistics

Wenxin Zhang is a PhD student in Biostatistics at UC Berkeley, working with Prof. Mark van der Laan. His research interests lie in the intersection of causal inference, machine learning, and semi-parametric estimation. He is also interested in adaptive designs.

Yi Li

Biostatistics

Yi Li is currently a PhD student in Biostatistics at the University of California, Berkeley, mentored by Mark van der Laan. His research interests primarily lie in causal inference, semi parametric estimation and network analysis. Recent work has been in adaptive design.

Yunwen Ji

Biostatistics

Yunwen Ji is currently a second year student in Biostatistics at the University of California, Berkeley, mentored by Alan Hubbard. Her research interests primarily lie in machine learning methodologies in precision medicine.