Sidd Ojha

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 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

Technical Skills

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