Hyperlocal marketplace platform to help small & micro-businesses in the UK survive and recover from the economic shutdown.
Supported by the University of Cambridge Judge Business School - Accelerate Cambridge programme.
Logistics platform for organizing non-profits to help isolated populations who are at increased risk for COVID-19.
Deployed and serving communities in Sweden.
AI assistant hotline to help millions in Germany without reliable internet access or technical literacy obtain essentials safely during the pandemic.
Winner of the German federal government's #WirVsVirus competition.
Selected Personal, Competition, and Open-Source Projects
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 IBM/National Institute of Standards and Technologies TechToProtect Challenge NYC (2019).
Natural language agent that assists with triage and documentation for urgent care and telehealth encounters.
Open-source project built with IBM Watson.
App that 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 (2016).
Voice assistant that answers questions about patients based on electronic health record data.
Winner of MIT - AthenaHealth Hackathon (2013).
Application that sorts radiology reports based on urgency of the findings using a classifier.
Brigham and Women's Hospital Hackathon winner & Finalist - American Medical Informatics Association "Ideas that Work" competition (2014).
Chatbot that helps teens practice dealing with cyberbullies in a safe environment while providing feedback and encouragement to improve confidence.
Winner of Intel HackHarassment Prize (2016).
Smartwatch app for physicians that displays customized notifications for critical results from patient lab work.
First health IT app developed for the Pebble smartwatch.
I'm a physician and software developer experienced in creating applications leveraging a variety of technology including machine learning, natural language processing, wearables and IoT devices. 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 where I also co-founded the largest student media group, and my MD from Albany Medical College where I did research in nanomedicine. I completed a residency program in Internal Medicine from the Icahn School of Medicine at Mount Sinai. I'm currently a board-certified Internal Medicine physician with experience in primary care, hospital medicine, critical care, and telehealth.
Along the way, I've created many apps for healthcare and other industries, including early work integrating conversational AI and wearables with electronic health record systems. I've worked with machine learning applied to clinical use cases and co-founded a TechStars-backed health tech startup helping clinicians extract useful insights from free-text clinical documents.
Early on in the COVID-19 pandemic, I built and deployed solutions with teams in the US, UK, Sweden and Germany. I advised health tech startups in several countries through the European Commission's EUvsVirus program. I co-founded a social venture to help small businesses in the UK struggling due to economic lockdown, launched in partnership with several town councils and the University of Cambridge Judge Business School.