Hi, I'm a
I’m a Research Scholar at the Carney Institute for Brain Science at Brown University; I have been exceedingly fortunate to be advised by Prof. Thomas Serre. My research intersects three broad directions:
- Data-driven models for generalizable representations: What training regimes and learning objectives allow us to learn desired perceptual features?
- Models grounded in human semantics: How do we design with decisions and objectives to learn from interactions with rich real-world data like humans?
- Deploying models in real-world environments: How do we tailor models to enhance their applicability in the real world, ensuring adaptability?
I aim to build better AI systems by reverse-engineering human intelligence.
I aspire to continue developing adaptable models that can be deployed in the real world with an emphasis on creating social impact, I’m particularly interested in the applications of AI systems in–science, conservation, and medicine.
News
Previously
Before my curent role, I worked on algorithmic trading, high and low touch flows, and a new equities (stocks, bonds, ETFs) trading platform at Goldman Sachs for the better part of two years. I completed my undergraduate education in Computer Science, advised by Prof. Dinkar Sitaram and Prof. Sanchika Gupta.
Outside the Lab
I spend most of my time outside of the lab in the gym. I also really enjoy playing the piano, and watching (real) football and Formula 1.