Team

Weiruo Zhang (Assistant Professor, Biological Sciences and Computer Science)

Dr. Zhang earned her Ph.D. in Electrical Engineering from Stanford University. For her doctoral study, she worked with Dr. David Dill in Computer Science of Stanford University, developing graph based machine learning (ML) algorithms for metabolomics data. Dr. Zhang later worked with Dr. Sylvia Plevritis in Stanford School of medicine, with research focus of implementing ML/AI approaches to integrate multi-modality data to study tumor progression. Her work has advanced spatial omics and cancer biology, with publications in Nature Methods, Cell, Science Immunology etc. Outside the lab, she enjoys piano, reading, oil painting, and watching soccer.

Fei Wang (PhD student in Biological Sciences, rotation)

Fei is a PhD student in Biological Science. She received her master’s degree from Fudan University, Shanghai China. Her research interests include learning new algorithms and using spatial analysis to analyze clinical data. In her free time, she enjoys listening to music and reading.

Gautam Passi (PhD student in Biological Sciences, rotation)

Gautam is a Ph.D. student in the Department of Biological Sciences at Purdue University. His academic journey spans biophysics, computational biology, and molecular dynamics, driven by a deep fascination with how structure and dynamics shape biological function. He's driven by curiosity, good playlists, and the joy of learning something new every single day. Beyond research, he's drawn to photography, design, and storytelling – ways of observing the world that mirror his scientific curiosity. He sees both science and art as acts of perception: finding coherence, rhythm, and beauty within what often first appears as noise.

Xiaoyue Li (PhD student in PULSe, rotation)

Xiaoyue Li is a current graduate student in the PULSe program. She earned her B.S. in Data Science and Statistics from Miami University and her M.S. in Biostatistics and Data Science from Washington University in St. Louis. Her previous research includes work on multi-omics gene expression analysis for neuroscience, genetic feature analysis in breast cancer, and the development of differential expression analysis for NGS data. Xiaoyue is passionate about computational biology and creating user-friendly assays for biomedical researchers. In her free time, she enjoys outdoor activities with family and friends, cooking, traveling, fitness, painting, and watching stand-up comedies.