CV

My resume as a PDF

Education

Ph.D in Computer Science, University of Illinois at Urbana Champaign, Winter 2025-Spring 2026 (expected)
M.S. in Computational Science and Engineering, Harvard University, 2020
B.S. (with Honors) in Computer Science & Applied and Computational Mathematics, California Institute of Technology, 2016

Work Experience

Permanent Positions

July 2016 - July 2018: Strat in Global Liquidity Products at Goldman Sachs
- Modeled forward looking funding requirements as required by Federal Reserves’s Comprehensive Capital Analysis and Review process (CCAR) and the consequences to Funds Transfer Pricing (FTP) management.
- Implemented various aspect of FTP framework to incentive prudent spot and contingent liquidity risk management
- Systematizing and automatic calculation and evaluation of internal liquidity metrics
- Repo pricing under various liquidity and funding constraints.

Industry Internships

Summer 2024 - Present: Applied Scientist at Vijil
- Building agentic pipeline to create custom red teaming scenarios for other agents
- Developed a persona based red teaming leading towards Global Dialogue Challenge Honorable Mention
- Implemented a general pipeline for optimizing benchmark evaluations for large LLM benchmark (DecodingTrust, OpenLLM, etc) to give an accurate estimate of trust of an LLM more efficiently
Summer 2023: Machine Learning PhD Intern at Instacart
- Initiated and developed a more personalized payment authorization amount per user with $10MM estimated impact
- Built a framework a generic contextual bandit process to perform automatic feature selection and mining through existing experiments for heterogeneous treatment effect
Summer 2022: Applied Research Intern at Snap = * Developed a POC on joint user segmentation and retention modeling for subgroup analysis
- Provided Meaningful insights on user content preferences that tend to correlate higher retention
Summer 2020: Software Engineering Intern at Papaya
- Implemented a generic payment tool to automatically make web payments without human intervention
Summer 2019: Intern at Terrafuse AI
- Developed market design for wildfire risk for commercialization of high resolution climate forecasting

Publications

Sync or Sink: Bounds on Algorithmic Collective Action with Noise and Multiple Groups

Aditya Karan, Prabhat Kalle, Nicholas Vincent, and Hari Sundaram. 2025. Sync or Sink: Bounds on Algorithmic Collective Action with Noise and Multiple Groups. https://doi.org/10.48550/arXiv.2510.18933.

Algorithmic Collective Action with Two Collectives

Aditya Karan, Nicholas Vincent, Karrie Karahalios, and Hari Sundaram. 2025. Algorithmic Collective Action with Two Collectives. In Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT 2025). Association for Computing Machinery, New York, NY, USA, 1468–1483. https://doi.org/10.1145/3715275.3732098.

Oh the Prices You’ll See: Designing a Fair Exchange System to Mitigate Personalized Pricing

Aditya Karan, Naina Balepur, and Hari Sundaram. 2025. Oh the Prices You’ll See: Designing a Fair Exchange System to Mitigate Personalized Pricing. In Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT 2025). Association for Computing Machinery, New York, NY, USA, 1159–1171.

Your Browsing History May Cost You: A Framework for Discovering Differential Pricing in Non-Transparent Markets

Karan, A., Balepur, N., & Sundaram, H. (2023, June). Your Browsing History May Cost You: A Framework for Discovering Differential Pricing in Non-Transparent Markets. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (pp. 717-735).

Service and leadership

Program Committee Member for FAccT 2025
Program Committee Member for AIES 2024
CMAP Citizen Advisory Board Member 2022-
IMSA Alumni Board Member 2017-2018

Aditya

CV

Education

Work Experience

Permanent Positions

Industry Internships

Publications

Sync or Sink: Bounds on Algorithmic Collective Action with Noise and Multiple Groups

Algorithmic Collective Action with Two Collectives

Oh the Prices You’ll See: Designing a Fair Exchange System to Mitigate Personalized Pricing

Your Browsing History May Cost You: A Framework for Discovering Differential Pricing in Non-Transparent Markets

Talks

Algorithmic Collective Action with Noise and Multiple Groups

Algorithmic Collective Action with Two Collectives

Oh the Prices You’ll See: Designing a Fair Exchange System to Mitigate Personalized Pricing

Collective Action in Online Settings

Your Browsing History May Cost You

Your Browsing History may Cost You.

Teaching

CS361 University of Illinois

CS175

CS207

CS136

CS51

CS50

CS144

CS11 C++

Service and leadership