I’m a PhD candidate 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 been fortunate to spend time at J.P. Morgan, BlueCove Limited, and Replicate.
I have a SM in Computer Science from MIT and a BS in Computer Science and Philosophy from Columbia Engineering. While I was an undergraduate at Columbia, 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 and cycling around Boston and NYC, sculling at Community Rowing, and learning how to cook.
Research Interests
I work on deploying large language models in finance. Specifically, I focus on:
[1] evaluating how well LLMs perform as financial experts,
[2] designing effective ways for people and LLMs to work together on financial decisions, and
[3] studying the broader effects of using LLMs in finance.
Publications
[Renda, Ross, Cafarella, and Andreas 2025] Renda, Alana, Jillian Ross, Michael Cafarella, and Jacob Andreas (2025), OpenEstimate: Evaluating LLMs on Reasoning Under Uncertainty with Real-World Data. [arXiv]
[Lo and Ross 2025] Lo, Andrew W., and Jillian Ross (2025), Mes copilotes, mes amis: grands modèles de langage et obligations fiduciaires, in Revue d’économie financière, no. 159: IA et finance, eds. Alain-Gérard Slama and Marie Brière, Association d’Économie Financière. [Book]
[Lo and Ross 2024] Lo, Andrew W., and Jillian Ross (2024), Generative AI from Theory to Practice: A Case Study of Financial Advice, in An MIT Exploration of Generative AI. [MIT Press]
[Lo and Ross 2024] Lo, Andrew W., and Jillian Ross (2024), Can ChatGPT Plan Your Retirement?: Generative AI and Financial Advice, Harvard Data Science Review (Special Issue 5). [HDSR] [Press]
[Ross et al. 2024] Ross, Jillian, Yoon Kim, and Andrew W. Lo (2024), LLM economicus? Mapping the Behavioral Biases of LLMs via Utility Theory, Conference on Language Modeling. [arXiv]
Talks
[April 2025] New Frontier Advisors, Boston, MA, USA
[July 2024] Harvard STAT S-115, Virtual
[June 2024] 9th International Pension Research Association Conference, Paris, France
[May 2024] New Frontier Advisors, Boston, MA, USA
Contact
Send me an email:
[firstname] [at] csail [dot] mit [dot] edu