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

About

I’m a PhD student at the Harvard-MIT Division of Health Sciences and Technology. My primary research interest is in developing explainable statistical techniques that help clinicians interpret and act on medical data.

To that end, I work in the Medical Vision Group with Polina Golland. I’m also a student researcher in the medical subdivision of Google Brain.

Previously, I did my undergrad in the Electrical Engineering and Computer Science department at MIT and did research internships at IBM Research and Draper.

I also started 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

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.
Code

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.
Presentation

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.
Paper