Headline

Manager, Product Development, Computational Biology, Precision Oncology, AI Driven Drug Discovery

About

I work at the intersection of precision oncology, computational science, and product development — translating complex molecular and genomic data into clinical decisions that reach patients. Over 17+ years, I've led product development initiatives that advance precision medicine through scalable decision frameworks integrating computational modeling, clinical evidence, and real-world data. My focus has consistently been on bridging scientific discovery and clinical application — making sure innovation doesn't stay confined to research, but becomes a validated, deployable tool clinicians can act on. I lead multidisciplinary teams spanning computational biology, framing the right problems, defining success metrics, building and validating predictive models against survival and response outcomes in independent real-world cohorts, and designing for real-world, regulated (SaMD-grade) deployment. I'm now focused on the next phase of data-driven, personalized oncology — hybrid systems that combine computational models for biological grounding with AI/ML for scale and pattern discovery, alongside the evaluation frameworks that tie model behavior to real clinical decisions and outcomes. I'm especially interested in real-world and clinico-genomic data strategy, biomarker and therapy-response prediction, and bringing trustworthy AI products to precision medicine across diverse healthcare settings. What I bring: Product leadership across the lifecycle — from problem framing and success metrics to validated, deployable clinical decision support Breadth across oncology — multiple disease areas, biomarker strategies, and therapy-response decisions on one scalable platform Data and evidence strategy — real-world, clinical, and genomic data integrated into decision frameworks that work in practice Interpretability and trust — predictions clinicians and regulators can understand and stand behind Cross-functional leadership and mentorship across science, data, engineering, and product I've authored 35+ peer-reviewed publications and conference presentations in oncology and computational science, and I lead a team of ~20. My broader goal is to help shape the future of AI-enabled, personalized oncology care — and to support its adoption across real-world healthcare systems. If you're working on ambitious problems in AI-enabled precision medicine — or want to compare notes on turning models into real clinical decisions — let's connect.

Location

Bengaluru

AI stack

claude code

claude

cursor

langgraph

langsmith

n8n

Work experience

Product Development Manager at Cellworks Research India Pvt. Ltd., May 2022 - Present · 4 yrs 5 mos, Own product vision, roadmap, and end-to-end delivery of Global Clinical & Pharma Solutions — a unified, multi-tenant precision-oncology clinical decision support (CDSS) platform enabling clinicians and healthcare centres to register patient cases with EHR and genomic profiles and receive personalised reports of ranked next-line therapy combinations, each with a mechanistic rationale, from a cancer-type-agnostic predictive-simulation engine.

Lead Scientist at Cellworks Research India Pvt Ltd, Feb 2010 - Apr 2022 · 12 yrs 3 mos, BANGALORE

Associate Scientist Computational Modeling at CELLWORKS RESEARCH INDIA PRIVATE LIMITED, Jun 2009 - Jan 2010 · 8 mos

Intern at CELLWORKS RESEARCH INDIA PRIVATE LIMITED, Nov 2008 - May 2009 · 7 mos, Worked to built mechanistic models for metabolic syndromes. Design predictive models for skeletal muscle ,.liver, pancreas and beta cells to design the computational system for type2 diabetes.

Education

PGDB, Bioinformatics, IBAB

Master of Science, Life Sciences, CCS (Chaudhary Charan Singh)University