I am an Assistant Professor of Computer Science and Management at the Frankfurt School of Finance & Management. My research focuses on the intersection of data science and economics, with an emphasis on eliciting, aggregating, and evaluating crowd-sourced information.
Before joining Frankfurt School in August 2018, I was a Postdoctoral Fellow in the Institute for Machine Learning at ETH Zurich, working with Andreas Krause. From 2014-2015, I was a Postdoctoral Fellow in the Good Judgment Project at the University of Pennsylvania, working with Lyle Ungar, Barb Mellers, and Phil Tetlock. From 2010–2014, I was a Fellow of the School of Engineering and Applied Sciences at Harvard University, where I was working with David C. Parkes. I received my Ph.D. (2014) and Master’s (2009) degrees in Computer Science from Albert-Ludwigs-Universität Freiburg, Germany.
I will be serving on the Program Committee of the 22nd ACM Conference on Economics and Computation (EC'21).
I gave a keynote talk at the ICML'20 Workshop on Incentives in Machine Learning! Check out the recording if you are interested.
Our paper "Small steps to accuracy: Incremental belief updaters are better forecasters" was accepted for publication in Organizational Behavior and Human Decision Processes (OBHDP). For a popular press summary, see the Scientific American piece by my co-author Pavel Atanasov.
An extended abstract of our paper "Small steps to accuracy: Incremental belief updaters are better forecasters" was accepted for publication in the 21st ACM Conference on Economics and Computation (EC'20).
I will be serving on the Program Committee of the 21st ACM Conference on Economics and Computation (EC'20).
I have a personal website! (No news for you, I know.)