Sidd Ojha · Undergraduate

Research Interests

Algorithmic Economics, Machine Learning, Market Design, Computational Social Science

Education

California Institute of Technology · 2022 - 2026
B.S. Applied & Computational Math (ACM), Economics
Captain, NCAA DIII Men’s Swim & Dive
Cumulative GPA: 4.2/4.3

Experience

OneChronos | Engineer (Fall 2025-Present)
• Designing and building "Smart Markets"
• Core platform engineering

OneChronos | Markets Engineering Intern (Summer 2024, 2025)
• Prototyped type-safe FIX protocol testing framework
• Investigated auction solve-time optimizations, resulting in ~9x speedup
• R&D on the next-generation of "Smart Markets"

Camerer Group @ Caltech | Physics 11 Research Fellow (2023)
• Conducted neuroeconomics research on rational inattention
• Focused on decision experiments with eye-tracking

Publications

Ryan Y. Lin Siddhartha Ojha Nicholas Bai
"CAT: Curvature-Adaptive Transformers for Geometry-Aware Learning"
Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks Workshop, 2025

Alec Laprevotte Ryan Y. Lin* Siddhartha Ojha*
"Diffusion-Generated Social Graphs Enhance Bot Detection"
New Perspectives in Graph Machine Learning @ NeurIPS, 2025

Thomas Henning* Siddhartha Ojha* Ross Spoon Jiatong Han Colin F. Camerer
"LLM Trading: Analysis of LLM Agent Behavior in Experimental Asset Markets"
Financial AI @ ICLR, 2025

Ryan Y. Lin* Siddhartha Ojha* Kevin Cai Maxwell F. Chen
"Strategic Collusion of LLM Agents: Market Division in Multi-Commodity Competitions"
SATA @ NeurIPS, 2024

* Denotes equal contribution

Teaching

CS/Ec 149 – Algorithmic Economics
TA · Spring 2026 · Prof. Axel Niemeyer
CMS/CS/Ec/EE 144 – Networks: Structure & Economics
TA · Winter 2026 · Prof. Eric Mazumdar
CS/EE/IDS 143 – Networks: Algorithms & Architecture
TA · Fall 2025 · Prof. Adam Wierman
CMS/CS/CNS/EE/IDS 155 – Machine Learning & Data Mining
TA · Winter 2025 · Prof. Yisong Yue
ACM/IDS 104 – Applied Linear Algebra
TA · Fall 2024 · Prof. Kostia Zuev
Bi 1 – The Great Ideas of Biology
TA · Spring 2024; 2025; 2026 · Prof. Rob Phillips

Selected Coursework

You can find some favorite courses from undergraduate and some useless charts here.

Selected Projects

MLMap.xyz
Visualization platform for ML research papers using semantic similarity and UMAP

Long-Range Phase Transition Simulations
Numerical exploration of universality in phase transitions

Selected Awards & Honors

David M. Grether Prize in Social Science · 2026
Henry Ford II Scholar Award · 2025
Caltech Men's Scholar-Athlete · 2026
CSC Academic All-District · Men's Swim & Dive · 2026
National Merit Scholar · 2022

Technical Skills

Python, Rust, Java, OCaml, MATLAB, Rails, HTML/CSS, Git, LaTeX