About
I believe in the power of data science to improve healthcare delivery — getting the right intervention to the right patient at the right time. I first saw the impact of strengthening health systems in Bolivia, where our team at Refresh Bolivia built a clinic that serves 10k+ indigenous residents in Cochabamba. At Harvard, I worked with SV Subramanian on tying population health indicators to geopolitical units in India, and with Vikram Patel on developing low-cost mental health interventions. I previously worked on methods for analyzing observational oncology data at Flatiron Health, and was Head of Data Science at Cerebral, where my team developed data-driven tools that improve access to high quality mental healthcare to >500k patients across the US. I'm currently an MD-PhD (biomedical data science) candidate at Stanford, where I work with Nigam Shah on deploying and evaluating AI systems in healthcare. I'm passionate about language learning and teaching others how to speak new languages fluently.
Book Launch
Co-written with Howard Friedman, Winning with Data Science: a Handbook for Business Leaders is for people who work with data science teams, teaching them how to become more effective data collaborators by asking the right questions, challenging assumptions, and leveraging domain expertise.
Featured Publications
Complete list on Google Scholar
Natural language processing system for rapid detection and intervention of mental health crisis chat messages.
Akshay Swaminathan, Iván López, Rafael Antonio Garcia Mar, Tyler Heist, Tom McClintock, Kaitlin Caoili, Madeline Grace, Matthew Rubashkin, Michael N Boggs, Jonathan H Chen, Olivier Gevaert, David Mou, Matthew K Nock
NPJ Digital Medicine
Selective prediction for extracting unstructured clinical data
Akshay Swaminathan, Ivan Lopez, William Wang, Ujwal Srivastava, Edward Tran, Aarohi Bhargava-Shah, Janet Y Wu, Alexander L Ren, Kaitlin Caoili, Brandon Bui, Layth Alkhani, Susan Lee, Nathan Mohit, Noel Seo, Nicholas Macedo, Winson Cheng, Charles Liu, Reena Thomas, Jonathan H Chen, Olivier Gevaert
Journal of the American Medical Informatics Association
Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery
Debadutta Dash, Rahul Thapa, Juan M Banda, Akshay Swaminathan, Morgan Cheatham, Mehr Kashyap, Nikesh Kotecha, Jonathan H Chen, Saurabh Gombar, Lance Downing, Rachel Pedreira, Ethan Goh, Angel Arnaout, Garret Kenn Morris, Honor Magon, Matthew P Lungren, Eric Horvitz, Nigam H Shah
arXiv preprint arXiv:2304.13714
Association between interpregnancy interval and subsequent stillbirth in 58 low-income and middle-income countries: a retrospective analysis using Demographic and Health Surveys
Akshay Swaminathan, Deshayne B Fell, Annette Regan, Mark Walker, Daniel J Corsi
The Lancet Global Health
Featured Press
Natural language processing for detecting mental health crises
Identifying repurposed drugs to treat COVID-19
Identifying environmentally and nutritionally optimal replacements for meat
Tying health outcomes to geopolitical units in India