I’m a 3rd year PhD student at the MIT Computer Science & Artificial Intelligence Lab (CSAIL), where I am a member of the Laboratory of Financial Engineering advised by Professor Andrew W. Lo. My research is supported by the MIT Presidential Fellowship and the Mathworks Engineering Fellowship. I’ve also spent time in industry at Replicate, Adobe Research, and BlueCove Limited.
I graduated from Columbia Engineering with a BS in Computer Science and a minor in Philosophy. While I was an undergraduate, I worked on problems in multimodal deep learning with Carl Vondrick. I was also involved in the entrepreneurial ecosystem on campus.
Outside of research, I enjoy running around the Charles River, learning to scull at Community Rowing, and reading nonfiction.
Research Interests
I work on the economic alignment of large language models (LLMs). Specifically, I examine the capabilities and limitations of LLMs as individual agents and assess their impact when deployed within complex systems like financial markets. By addressing real-world concerns about AI agents and their impact within the specific context of finance and economics, I believe we can make tangible strides towards general AI alignment.
Publications
- A. Lo, J. Ross: Can ChatGPT Plan Your Retirement?: Generative AI and Financial Advice [Preprint] [Press]
- J. Ross, Y. Kim, A. Lo: LLM economicus? Mapping the Behavioral Biases of LLMs via Utility Theory [Under Review]
Talks
[June 2024] 9th International Pension Research Association Conference, Paris, France
[May 2024] New Frontier Advisors, Boston, MA, USA
Contact
If you’re interested in economic alignment, would like to collaborate, or have good biography recommendations, send me an email:
[firstname] [at] csail [dot] mit [dot] edu