PhD Student, MIT CSAIL
32 Vassar St, 32D-474
Cambridge, MA, 02139


I’m a PhD student at the Harvard-MIT Division of Health Sciences and Technology, working in the Medical Vision Group with Polina Golland. I’m interested in using signal processing and machine learning to better understand and act upon medical data.

Previously, I did my undergrad in the Electrical Engineering and Computer Science department at MIT. I’ve worked at Google, IBM Research, and Draper.

I also co-founded Blueprint and served as the president of MIT HKN.

Selected Projects

Predicting Alarm Relevance in Neonatal Intensive Care Units

Classifiers that use physiologic waveform data to predict bedside alarm relevance in neonatal intensive care units, suggesting a strategy for silencing unnecessary alarms.
Paper to Appear.

Predicting Adverse Drug Reactions with Molecular Docking

Models that use only structural drug information to predict Adverse Drug Reactions (ADRs), enabling ADR identification before experimental testing in patients.
Paper to Appear.

Analyzing Acute Kidney Injury in Septic Intensive Care Patients

A retrospective cohort study to analyze the appropriateness of mean arterial blood pressure as a predictor of acute kidney injury in septic patients.

Designing Biomimetic Prosthesis Controllers for Walking

A state space biomimetic controller for prosthesis-aided walking, yielding modeled gait parameters similar to biological values.
2nd Place Oral Presentation, EECSCon 2016.

Localizing Parafoils in GPS-Denied Environments

Parafoil localization algorithms requiring only monocular camera imagery and inertial sensor data, enabling supply delivery to troops in GPS-denied environments.