Weijia Fu, M.S. (Biostatistician II, Dec. 2023 – Now)

Weijia holds an MSc in Biostatistics from the University of Washington in Seattle. Prior to joining the Mount Sinai, she was a member of Dr. Michael Wu’s lab at the Fred Hutchinson Cancer Research Center, where she focused on the research of statistical challenges in microbiome data and association testing for high-dimensional data. As a team member, Weijia has been involved in (1) the development of statistical methodologies and (2) the analyses of high-dimensional -omics data and large-scale population-level data. She has expertise in statistical computing in Python and R. Her recent accomplishments include an identification of cell-type-specific associations from bulk high-throughput omics data, a revealing of novel mechanisms for prostate cancer survival through a transcriptome-wide association study, and a construction of Docker for data simulators.

Alicia Yang (MD/MSCR candidate, Apr. 2026 – Now)

Alicia is an MD/MSCR candidate at the Icahn School of Medicine at Mount Sinai. She is interested in head and neck oncology, environmental epidemiology, and clinical applications of omics research and causal mediation analysis. She is looking forward to working with the team to develop clinically relevant applications of novel statistical methods.

Ethan Park (Undergraduate Research Assistant, Mar. 2025 – Now)

Ethan is an undergraduate student at Rutgers University, double-majoring in Mathematics and Computer Science. He has a strong passion for machine learning and research in related fields. At Mount Sinai, Ethan is excited to explore causal mediation analysis and contribute to cutting-edge research. Currently, he is working on a project that applies ensemble classification methods to large proteogenomic dataset, integrating known cancer-related clinical variables to predict survival outcomes.

Eva Lee (Undergraduate Research Assistant, Jan. 2026 – Now)

Eva Lee is an undergraduate student at the University of Pittsburgh, majoring in Neuroscience on the pre-med track. She is deeply interested in the biological foundations of neurological and psychiatric disorders and hopes to pursue a career in medicine. She is involved in research related to how neural and behavioral factors contribute to health outcomes and is excited to continue working with the team to explore data analysis and scientific investigation.