Roonak Rezvani is a Senior Data Scientist with nine years’ experience applying ML and LLMs to accelerate drug discovery and clinical decision-making. He builds production-ready NLP and transformer systems that move models out of notebooks into scientist-facing tools, including protocol-generation assistants and gene–disease relation extractors that have materially sped hypothesis generation. His work blends deep academic rigor—PhD research in time-series and probabilistic models—with industry impact at Exscientia/Recursion, where he improved target classification and modulation recall while supervising students and running internships. Previously he developed semi-supervised Bayesian fusion models for dementia care and pragmatic tools for longitudinal causal inference, showing a knack for making complex models actionable in healthcare. Based in Oxford, he pairs technical leadership with product-minded execution to bridge biology, AI, and lab automation. An oft-overlooked strength is his track record of scaling research prototypes into deployed pipelines that integrate stakeholder feedback from chemists and clinicians.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Shahid Beheshti University
PhD Electrical and Electronics Engineering, PhD Electrical and Electronics Engineering at University of Surrey
Contributions:4 pushes, 3 branches in 1 year 8 months
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