I’m a PhD student at the Harvard-MIT Division of Health Sciences and Technology. My primary research interest is in using techniques from statistical signal processing and machine learning to better understand medical data.
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.
Abstract (Ahead of Print)
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.