aditya

I'm Aditya Gupta

Quant @ SIG

Serial AI Researcher (8 papers @ Harvard Business School, Yale, SAIL, UChicago Booth, Columbia), competitive programmer (USACO Platinum), and Chess National Master. Currently exploring fintech, AI, and financial markets.

Contact Me@Ad1tyaGupta

[Currently] in Stanford, CA

Headshot of Aditya Gupta

Recent Achievements

From winning hackathons to publishing research papers, every day brings new opportunities to make an impact.

TreeHacks 2025 Winner

First and second place in Edge AI track, winning $7,500 in prizes. Built PUSHPA - smart glasses for firefighters with real-time wildfire mitigation.

Quantitative Trading

Quant Discovery @ SIG HQ and Jane Street FTTP Fellow. Experience in trading, derivatives, and financial markets.

Stanford CS '27

Studying Computer Science at Stanford University. Got into 13/13 colleges including MIT and Harvard.

Research & Publications

8 papers at Harvard Business School, Yale, SAIL, UChicago Booth, Columbia. Focus on AI, ML, and financial technology.

Professional Experience

A journey through research, trading, and technology.

Quantitative Trader Discovery

Internship
Susquehanna International Group
Feb 2025 - Present

Quant Discovery @ HQ.

Jane Street FTTP Fellow

Fellowship
Jane Street
Feb 2025 - Present

Spring Break 2025.

AI Venture Grantee

Grant
LeapYear
Nov 2024 - Present

$40K check. $2M valuation to just build. For a year. Youngest team accepted.

AI Research Assistant

Research
Stanford University
Jun 2024 - Oct 2024

AI agents for Cybersecurity

Research Assistant

Research
Harvard Business School
Feb 2024 - Sep 2024

AI in pharmaceutical innovation and patents

Research Publications

Contributing to the fields of AI, finance, and technology through academic research.

On the Value of Chess Squares

Gupta, Aditya, et al. • Entropy • 2023 • 25.10 • pp. 1374

A novel approach to chess square valuation using Q-learning and deep learning techniques.

Using Monte Carlo Methods for Retirement Simulations of the 401K and IRA

Gupta, Aditya, et al. • ICEIL, Springer • 2023

Application of Monte Carlo methods in retirement planning and financial simulations.

Agri-GNN: A novel genotypic-topological GNN framework for yield prediction

Gupta, Aditya, et al. • arXiv • 2023

Novel GNN framework combining genotypic and topological data for agricultural yield prediction.

Analysis of Twitter Sentiment to Predict Financial Trends

Gupta, Aditya, et al. • AISC, IEEE • 2023

Sentiment analysis of social media data for financial market prediction.