I am currently an Assistant Professor of Biostatistics and the Edens Family Assistant Professor of Healthcare Communications and Technology at Brown University. I am also a core member of the Center for Computational Molecular Biology (CCMB). I received my Ph.D. in Biostatistics from the University of Michigan and joined Brown in 2023.
Our lab focuses on developing rigorous statistical learning and AI methods for high-dimensional genomics and genetics, with particular emphasis on single-cell RNA-seq, spatial omics, and clinical informatics. Our lab is supported by several grants from the National Institutes of Health (NIGMS), the National Science Foundation (NSF), and the American Cancer Society (ACS-IRG).
Our work has been published in leading journals and conferences, including Nature Biotechnology, Nature Methods, Nature Communications, Nucleic Acids Research, Trends in Genetics, The American Journal of Human Genetics, NeurIPS, and npj Artificial Intelligence. We collaborate broadly across genomics, cancer biology, and computational science to develop statistically grounded and biologically meaningful frameworks for analyzing biomedical datasets.
We foster a collaborative and supportive research environment that values creativity, independence, and careful scientific thinking. Trainees in the lab are encouraged to develop strong methodological foundations, lead high-impact and rigorous projects, and build publication records that position them for successful careers in academia or industry. Highly motivated students with interests in statistics, machine learning, AI, or computational biology are warmly encouraged to reach out. Please visit our lab website for more information about our research and training opportunities.
