Lead and grow an ML infrastructure team to build, scale, and operate training, deployment, and agent/LLM systems across on-prem and cloud HPC. Partner with research, ML engineering, and platform teams to translate requirements into robust MLOps solutions, optimize GPU utilization, and establish company-wide ML infrastructure standards while mentoring engineers and driving model-driven practices.

Lead data analysis for drug discovery in neuroscience, integrating diverse datasets and collaborating with cross-functional teams to develop therapeutic candidates and validate targets.