Summary
Sambhawa Priya is a computational biologist and machine learning researcher with a decade of experience applying multi-omics and AI methods to understand host–microbiome interactions and human disease. Currently a Chicago DFI Fellow and Postdoctoral Scholar at the University of Chicago, she brings postdoctoral experience from Massachusetts General Hospital, Broad Institute, and Harvard Medical School where she translated complex biological questions into scalable computational experiments. Her background blends rigorous PhD training in bioinformatics and computational biology with an MS in computer science, enabling her to bridge algorithm development, data integration, and biological interpretation. She has a track record of building practical research tools—dating back to semantic-web systems for mining cancer genetics and early sensor and speech recognition projects—showing a long-standing habit of turning domain problems into engineered solutions. Known for multidisciplinary collaboration, she excels at moving models from exploratory analyses toward translational insights that inform clinical and experimental studies. Based in Chicago, she combines deep computational skill with biological intuition to tackle noisy, heterogeneous biomedical data.
10 years of coding experience
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Manipal Institute of Technology
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Lehigh University
University of Minnesota Twin Cities
English