Welcome to my corner of the internet.
Here, I document my experiences and ideas I’ve found intriguing.
One area of focus for me is the intersections of machine learning and healthcare. I typically describe my own work and conversations I have with folks in both fields.
About me
At MIT
I graduated from MIT in Fall 2020 with undergraduate and graduate degrees in computer science. While at MIT I was lucky to work at startups like Celect and Stone Pagamentos, as well as established firms like McKinsey.
Graduate work: ML in utilization management
I wrote my graduate thesis on the applications of machine learning to utilization management, working with Prof. Robert Freund, Kang Wang at HealthFortis Associates and HealthCarePartners (now Optum California).
Facebook (Meta)
After graduating I began work in Facebook’s Boston office as part of our Traffic org. My team maintains the cross-platform client-side component to Facebook’s networking infrastructure, supporting our mobile apps in serving trillions of requests (friends lists, profile pictures, cat videos) each day.
My intellectual philosophy
My personal and professional interests lie in:
- pushing the frontiers of what’s considered possible forward through research,
- applying state-of-the-art research techniques to solve practical problems, and
- establishing guarantees and failure cases for these techniques.
Through this, I aim to avoid hype and instead create rigorous, well-understood solutions.
Outside of work
When not at my desk, I enjoy:
- music 🎵: I play piano and guitar and am fairly well-versed in music theory
- sports 🏐 & games 🎮: During warm weather, I play volleyball with the many other volleyball lovers in Boston. During cold weather I prefer Mario Tennis and Mario Party (mostly, the volleyball minigame 🙂).
- family & friends 👨👩👧👦 : I find spending time with my family and friends from college deeply fulfilling