Soumita Ghosh is a research-focused data scientist and software engineer with eight years of experience translating high-throughput biology into actionable machine learning models, currently a Research Fellow at the Toronto General Hospital Research Institute. She holds a Ph.D. in Public Health (Bioinformatics and Computational Biology) and has built semi-supervised deep learning systems for drug recommendation, multi-omics cancer outcome prediction, and computer-vision pipelines for behavioral phenotyping. Her background spans production-grade image segmentation and signal quantification tools as a principal software architect through to NGS pipelines and interactive visualizations, giving her rare fluency across research and engineering. Selected as an Eric and Wendy Schmidt AI in Science Postdoctoral Fellow, she blends rigorous statistical thinking with practical software delivery to tackle translational problems in chronic liver disease and post-transplant graft pathology. Colleagues describe her work as combining domain depth with engineering polish, enabling models that are both biologically interpretable and production-ready.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Public Health (Bioinformatics and Computational Biology), Doctor of Philosophy - PhD, Public Health (Bioinformatics and Computational Biology) at Saw Swee Hock School Of Public Health
Master of Science - MS, Computer Engineering (Digital Media Technology), Master of Science - MS, Computer Engineering (Digital Media Technology) at Nanyang Technological University
Bachelor of Technology - BTech, Information Technology, Bachelor of Technology - BTech, Information Technology at West Bengal University of Technology, Kolkata
Contributions:150 commits, 126 pushes, 2 branches in 4 years 6 months
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Soumita Ghosh - Research Fellow at University Health Network