Projects I've Worked On

In this project, I applied diffusion models — a type of generative AI model that is behind popular image generators such as Dall-E 2 and Stable Diffusion — for superconductor discovery. In particular, this work focused on applying conditional diffusion models (with ILVR) to computationally discovery potential new families of superconductors for the first time. In the past, computational approaches to superconductor discovery could only generate new superconductors from known families and were unable to generate any new families — this work resolves that limitation.

Beyond generating new families of hypothetical superconductors for the first time, this model also enables researchers to extrapolate a family of potential superconductors from any single new one they discovery. The model is a powerful tool for accelerating superconductor discovery. I conducted this research with Prof. Dordevic (UAkron), who kindly accepted to mentor me on this project after I cold-emailed him.

Additional Details. For this work, I was named a 2024 Davidson Fellow Laureate ($50k scholarship) and a Regeneron Science Talent Search (STS) Top 300 Semifinalist. This work will also be featured in an oral presentation at the 2025 APS Global Physics Summit.

After collecting the observational data, we employed the Method of Gauss (MoG) to determine the orbital elements of the asteroid from three best observations. After computing the orbital elements, we ran Monte Carlo simulations to determine uncertainties and propogated the elements forward millions of years to predict the future of the asteroid.

At SSP, beyond the OD project, I worked on weekly problem sets with friends and played a lot of ping pong! The code for my OD project can be found here.

With some of my friends from SSP, David Fargalla and Kaku Benti, I built thypher.com. It's a Physics-inspired Wordle-like game, where players guess a daily 5-letter word by solving and deciphering the equations. The name is a portmanteau of the words "theorem" and "cypher."

I've found that this game is a great, fun way to refresh myself on Physics equations daily, especially as a budding future Physics major — and we've gotten plenty of positive feedback from others who feel the same way. So far, in our first week, we've garnered around 5,000 players. And we hope to grow it further!

Together with my friend Armaan Gomes, I worked on a science fair project on firebreak placement optimization with genetic algorithms in sophomore year of high school. In this work, we built a cellular-automata based wildfire simulation with the Alexandridis model that was integrated with real-world data. And, with this, we applied genetic algorithms to compute realistic and effective firebreak constructions.

While a prototype model, our work presents a possible new method for efficient and effective firebreak construction strategy conceptualization — and further development, such as with the integration of additional data, may produce a truly useful real-time assistive tool for wildfire-fighting efforts. The code for this work is publicly accessible and can be found here.

Additional Details. This work won First Place in the Computer Science category at the 2023 California Science and Engineering Fair (CSEF).