Al Ster

Rapidly design, implement, and evaluate predictive machine learning models of diverse antibody biophysical properties, for dataset scales from hundreds to millions, to support therapeutic portfolio. Develop and implement improved active learning / bayesian optimization methodologies as validated experimentally in lab. Design and develop production-grade infrastructure for better model training, tracking, benchmarking and evaluation across diverse tasks in a continuous data generation setting.