Suchibrata Patra
I work on computational methods for multimodal biomedical data and medical imaging, with a focus on radiomics, pharmacokinetic modelling, and machine learning frameworks for non-invasive cancer diagnosis.
A physician's judgment is only as good as the information behind it. I build the tools that make that information trustworthy.
My mother's work in public health administration under the Government of India showed me early on that clinical and policy decisions are only as reliable as the data beneath them — numbers and patterns, not the clinic itself, are where I've always wanted to work. That interest sharpened into a research focus during my M.Sc. in Data Science at St. Xavier's College, Kolkata, alongside a role as an AI Research Intern at TCG CREST under Dr. Sourav Bhaduri: distinguishing true tumour progression from pseudoprogression in glioblastoma, a distinction standard MRI cannot reliably make, but on which real treatment decisions depend.
My current work goes further — toward models that hold up across institutions and scanners, and that reason over a patient's full imaging history rather than a single snapshot. The goal is a diagnostic tool trustworthy enough for the clinic it's built for.
A full, continually updated list of papers, preprints, and reports is maintained on a dedicated page.
View Publications & Preprints →-
20242nd Runner-up — PharmaQuant HackathonTop 3 of 800+ participants · Statistical analysis & quantitative pharmacology challenge
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2024Nationwide Rank #43 — RedBus ML CompetitionDemand forecasting under distribution shift among 4000+ competing teams
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2021District 2nd Rank — WBBSE Secondary Examination
https://orcid.org/0009-0001-0157-057X ↗