I'm a practicing physician and software developer experienced in creating digital health solutions
leveraging a variety of technology including machine learning, wearables and medical devices, and
health data interoperability standards such as HL7 FHIR.
I've done early work integrating conversational AI and wearable devices into clinical workflows and
extracting insights from unstructured health data using machine learning.
Recently, I've built solutions for COVID-19 with international teams and I've been working on a framework for building digital health apps and making mobile health data useful for clinicians and researchers with CardinalKit at the Stanford Byers Center for Biodesign.
I started learning to code at a young age and have always been passionate about applications of technology to medicine. I recieved my bachelors degree from Cornell University and my MD from the Albany Medical College. I completed a residency program in Internal Medicine from the Icahn School of Medicine at Mount Sinai and am certified by the American Board of Internal Medicine.
At Cornell, I co-founded the largest student media group and developed novel streaming technology. During my medical training, I built several digital health apps and co-founded a Techstars-backed startup developing software to extract insights from free-text clinical reports using natural language processing.
In 2020, at the start of the COVID-19 pandemic, I served as a mentor in the European Commission's #EUvsVirus program and built solutions with teams in the UK, Sweden and Germany. I co-founded Localing, an initiative to help small businesses in the UK survive the lockdown and subsequently was accepted to and completed the Accelerate Cambridge enterpreneurship training programme at the University of Cambridge Judge Business School.
Recently, in addition to practicing clinically, I have been working on CardinalKit, an open source platform for creating, managing, and scaling digital health apps at the Stanford Byers Center for Biodesign. I've also had the pleasure of mentoring engineering students at The George Washington University using machine learning to assist in the early detection of genetic disorders for the Children's National Hospital.
Platform for studying the long-term effects of COVID-19 with mobile health data and electronic health record integration.
Supported by Google Cloud's COVID-19 Hackathon Fund.
Hyperlocal marketplace platform to help small businesses in the UK survive and recover from the economic shutdown.
Supported by the University of Cambridge Judge Business School · Accelerate Cambridge programme.
Organizing assistance for isolated populations during COVID-19 and preventing social seclusion.
Community-powered platform in collaboration with non-profits in Sweden.
AI assistant hotline to help millions in Germany obtain essentials safely during the pandemic.
Winner of the German federal government's #WirVsVirus competition.
Simulation of the algorithm that matches medical school graduates with residency training programs in the US.
Featured on NPR Planet Money, Doximity DocNews, Medium Top Stories, and Nate Silver's FiveThirtyEight.
System for incident commanders to monitor the safety of emergency responders using wearable sensors.
Winning Solution for the NIST TechToProtect Challenge NYC.
Conversational AI that assists with triage and documentation for urgent care and telehealth encounters.
Developed for an urgent care clinic.
App that helps adolescents bring up sensitive health issues with their doctors using self-destructing messaging.
Developed for the Innovate NewYork-Presbyterian Pediatric App Challenge.
Voice assistant that answers questions about patients based on electronic health record data.
Winner of the 2013 AthenaHealth MDP Hackathon.
Sorts radiology reports based on urgency using a machine learning classifier.
Winner of the 2013 Brigham & Women's Innovation Hub Hackathon.
Chatbot that helps teens practice dealing with cyberbullies in a safe environment.
Winner of the #HackHarassment prize sponsored by Intel.
Smartwatch app for physicians that displays customized notifications for critical lab results.
First healthcare app developed for the Pebble smartwatch.