Greater Boston
I develop systems that augment human decision-making in complex domains, including multi-agent planning, scheduling, resource allocation, and optimization under uncertainty. My expertise spans RL, AI planning and scheduling, and human-robot interaction. At Labcorp/Invitae, I focus on transforming clinicogenomic data into actionable insights for personalized medicine, advancing variant interpretation, genetic imputation, and drug discovery. I also have extensive experience deploying ML systems to automate critical workflows, driving revenue and operational efficiency in healthcare. I received my PhD from CSAIL at MIT.
(continuation of role after Labcorp acquisition of Invitae)
Led the development of a data analytics platform that autogenerates insights from longitudinal clinicogenomic data, partnering with big pharma. Building an autonomous research agent that generates novel findings across multiple domains in clinicogenomic analysis. Developing explainable probabilistic models for variant interpretation, improving the accuracy of genetic testing results for millions of patients.
Led a team of 7 scientists and engineers to productionize ML systems that optimize complex medical billing workflows, resulting in revenue increase of $10M/yr and +100% in operational efficiency. Developed ML models for structured reasoning over multi-step medical necessity criteria, determining eligibility and providing accurate out-of-pocket estimates for over 4M+ orders. Served as the platform DRI, guiding systems from design to production, integrated continuous feedback from CX teams, and presented OKRs to executive leadership.
Developed AI planning and scheduling algorithms that automate lab workflows and billing processes. Wrote successful research grants and advised graduate students from MIT and UMass Amherst.
Developed NLP and RL models that generate summaries from conversational data. Designed human-in-the-loop planning systems capable of incorporating high-level human strategies. I was a member of the Interactive Robotics Group in CSAIL, advised by Julie Shah.
Developed Bayesian inference models to efficiently mine data logs and provide summarization, resulting in a successful patent and release as a cloud service.
Developed human-in-the-loop planning systems for the application of missile defense.