Aditya Karan

I’m a 5th year PhD student at the University of Illinois advised by Professor Hari Sundaram. My work broadly looks at how groups of people can work to understand large algorithmic systems (e.g pricing systems, recommendation systems, LLM) and work together to achieve better outcomes. In this way, my work looks at intersection of algorithmic fairness/auditing and collective action. My work has primarily been targeted to ACM Conference on Fairness Accountability and Transparency (FAccT).

While pursuing my PhD, I have had the fortune of working various industry-based research positions including at Vijil (developing more efficient benchmarking for LLMs) Instacart with the Econ team (initiating a project to refine payment authorization per user) and Snap (building user segmentation models)

Previously, I completed my Masters in Computational Science and Engineering at Harvard where I worked with Professor Hima Lakkaraju on developing fair clustering algorithms. I obtained my Bachelors in Computer Science and Applied & Computational Mathematics from Caltech advised by Adam Wierman.

In my non-academic professional life, I worked at a Strat at Goldman Sachs in New York on the Global Liquidity Products team (GLP) in Divisional Strats. I had a great experience working with many talented people and happy to talk about my time there.

Other interests that I wish to explore at some point include power/sustainability in electricity grids, biological systems, and financial markets.

If any of our interest align, don’t hesitate to reach out!