Platform for studying the long-term effects of COVID-19 with mobile health data and electronic health record integration.
Developed with Stanford's CardinalKit and supported by Google Cloud's COVID-19 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.
Open-source project built with IBM Watson.
Makes it less awkward for teens to bring up sensitive health issues with their doctors using self-destructing messages.
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 2014 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.
I'm a physician and software developer experienced in creating digital health applications leveraging a variety of technology including machine learning, wearables & IoT devices, and interoperability standards such as HL7 FHIR. I started coding at a young age and have always been passionate about innovation at the intersection of healthcare and technology.
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. I'm currently a practicing, board-certified Internal Medicine physician.
I've created many applications including early work integrating conversational AI and wearables with electronic health record systems. I've worked with machine learning applied to clinical data and co-founded a startup as a medical student helping clinicians extract useful insights from free-text clinical documents.
During the COVID-19 pandemic, I built solutions with teams in the US, UK, Sweden and Germany. I was a mentor in the European Commission's #EUvsVirus program and co-founded Localing, an initiative to help small businesses in the UK struggling due to economic lockdown, launched with the support of the University of Cambridge Judge Business School's Accelerate incubator.
Recently, I have also been working on CardinalKit at Stanford University to make digital health apps quicker to build and mobile health data useful for research and clinical workflows.