Update 12/2021: My book Practical AI for Healthcare Professionals has been published! Click here to purchase/download it from Springer Nature/Apress.
Hi there. My name is Abhinav Suri (“Abhi” for short) and I am a first-year medical student at the UCLA David Geffen School of Medicine. I recently finished my MPH in Epidemiology at Columbia where I had the opportunity to coordinate the COVID-19 response in Stamford, CT via building geospatial dashboards and researching opioid usage trends in response to lockdowns under Dr. Andrew Rundle.
I graduated from the University of Pennsylvania in 2019 with a double major in Computer Science and Biology (w/minors in Chemistry and Classical Studies). There I had the opportunity to pursue projects in multiple labs at UPenn and the Perelman School of Medicine (focusing on topics such as using GWAS analysis techniques to determine COPD genetic risk factors, using recommendation algorithms to optimize post lung-transplant surgery rehabilitation exercise plans, and using AI to detect and diagnose spine fractures).
I also volunteered my time for Hack4Impact (as co-director and technical lead) and led projects dealing with food-insecurity in Philadelphia, healthcare worker access in Tanzania, anti-wage theft cases, and access to arts classes in underfunded school districts. I developed and maintain a open source repository, Flask-base, which is a boilerplate repository for python web applications. As of 07/2021, the repository has ~2.6k stars on Github.