bhaveshsoni

Work

From data
to better medicine.

I bring AI and computational biology to hard problems in biomedicine — turning complex biological data into insight that helps us diagnose, understand, and treat disease.

Biological data Models Insight Decisions Diagnostics & therapeutics

My focus is on the strategic translation of latest R&D insights into clinical value, currently bridging AI discovery and clinical evidence to define the path from target to treatment.

I bring hands-on experience within pharma R&D, embedded in Roche's pRED in Basel, working on drug discovery problems across target identification, reverse translation using secondary-use clinical trial data, resistance profiling, and biomarker discovery.

My DPhil at Oxford, conducted inside Roche's pRED Discovery Oncology division in Basel, combines computational method development with end-to-end translational research, directly connected to portfolio-level decisions. Before this, I worked as a computational biology consultant at Roche pRED, contributing pan-cancer analytics to guide discovery-stage strategy.

I am now looking to apply this more broadly — across computational drug discovery, diagnostics, and precision medicine — wherever scientific depth can meet real-world impact.

Machine learning Computational biology Multi-omics Biomarker discovery Diagnostics Precision medicine Translational research Data strategy

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