Software Engineer on the Planning team, working on trajectory generation, ML recall, and evaluations.

I was a research assistant in Prof. Regina Barzilay's group:

* Worked on multimodal prostate cancer risk prediction that exceeded radiologist benchmarks

* Created deep learning models to analyze temporal drift on electronic health records data, with results published in STAT News.

Intern on the Perception Team, worked on Lidar point cloud semantic segmentation models.

I was a Software Development and Machine Learning intern on the Cloud and Cognitive Software team, working on Machine Learning model management for Edge Computing applications. I developed AI models and worked on integrating IBM products to create a full MLOps lifecycle.

As part of a team in the Operations Research Center, I implemented a novel MDP-based Reinforcement Learning algorithm for optimal decision-making, and spearheaded efforts to immediately apply it to modeling healthcare problems such as HIV and COVID-19. I was responsible for creating the majority of the algorithm’s code base in Python, and executing the team’s key validation experiments comparing the algorithm's performance with other RL methods.