The main objective of this project is to provide medically relevant knowledge from the study of data from hospital intensive care units. The goal is to use blood pressure data collected from thousands of patients to develop a system capable of accurately predicting when a patient will have problems, improving the quality of care for ICU patients and doctors.This project will apply states space based machine learning algorithms to the processed signal level data from over 1.2 billion heartbeats using distributed computing to improve prediction abilities for patients in critical care.

I researched systems modeling and simulation as applied to water desalination in MITs Center for Clean Water and Clean Energy under Professor John Lienhard V. I have written production software for two startups in distributed computing and analytics.