Hi! If you're here for my research work, the best place to find it is my Google Scholar profile.
I am a machine learning researcher at Recursion, where we use several flavors of high-throughput screening to map biological perturbations at scale. Our platform systematically perturbs cells using CRISPR knockouts, small molecules, and other interventions to create an engine for large-scale and efficient hypothesis generation/validation in drug discovery.
I joined Recursion through the acquisition of Exscientia, where I previously led the ML research team in precision medicine.
Throughout my career, my research has often focused on developing AI systems that can rapidly adapt and learn in dynamic, data-constrained environments. Prior to joining Recursion/Exscientia, I spent four years at the autonomous driving startup FiveAI (acquired by Bosch), where I worked on advancing robust autonomous systems through domain adaptation, hierarchical learning, meta-learning, and adversarial robustness. Prior to that, I did my PhD at the University of Oxford (2014-2018), where I developed now-popular object tracking methods like SiamFC, alongside several contributions to few-shot learning.
I believe we are living through one of the most interesting and consequential times in history, and I am motivated to advance technologies for human flourishing through both research and engineering.