Christine Konicki passes prelim
Christine Konicki passed the CSE prelim exam, based on her directed study project titled “Tree-Exploiting Empirical Game Theoretical Analysis for Extensive-Form Games”. Congratulations, Christine!
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Christine Konicki passed the CSE prelim exam, based on her directed study project titled “Tree-Exploiting Empirical Game Theoretical Analysis for Extensive-Form Games”. Congratulations, Christine!
On June 1 2021, Megan Shearer presented and successfully defended her dissertation proposal titled “Modeling Trading Strategies in Financial Markets with Data, Simulation, and Deep Reinforcement Learning”. The dissertation committee comprises: Michael Wellman [chair] Gabriel Rauterberg Uday Rajan David Fouhey Congratulations, Megan!
On 27 April 2021, Max Smith presented and successfully defended his dissertation proposal titled “On Efficient Deep Multiagent Reinforcement Learning Through Transfer Learning”. The dissertation committee comprises: Michael Wellman [chair] Satinder Singh Baveja Honglak Lee Grant Schoenebeck Congratulations, Max!
Katherine Mayo passed the CSE prelim exam, based on her directed study project: A Strategic Analysis of Portfolio Compression. Congratulations, Katherine!
On Dec 21, 2020, Xintong Wang successfully defended her PhD dissertation titled, “Computational Modeling and Design of Financial Markets: Towards Manipulation-Resistant and Expressive Markets.” Congratulations, Dr. Wang! We wish you a bright future ahead as an alumna and ambassador of UMich CSE, AI, and SRG! Thanks to the dissertation committee members: Satinder Singh Uday Rajan […]
Megan Shearer is one of the graduate student recipients of the first annual CSE Service Award for Excellence in Climate, Diversity, Equity and Inclusion. The awardees for the 2019-20 cycle were officially recognized by Prof. Westley Weimer at the 17th Annual CSE Graduate Honors Competition held virtually on Nov 11, 2020. Congratulations, Megan!
Xintong Wang was one of the five finalists at the 17th Annual CSE Graduate Honors Competition held virtually on Nov 11, 2020, where she delivered a 15 min presentation (with QnA) on her research topic “Combining Agent-Based Simulation and Adversarial Learning to Detect Market Manipulation.” She was selected as the representative of the AI lab for the event […]
Prof. Wellman will speak on the topic “Generative Adversarial Networks for Amplifying and Extending Financial Market Data” at the second IEX Academic Research Conference on Nov. 19, 2020. The full program of the two-day virtual event is available here.
Our proposal titled “Empirical game-theoretic analysis for web-enabled simulation” sent in response to the request launched by Facebook Research for proposals on agent-based user interaction simulation to find and fix integrity and privacy issues was accepted for a research award. We are grateful to Facebook for the honor and look forward to working on an […]
Yongzhao Wang passed the CSE prelim exam, based on his directed study project: Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis. Congratulations, Yongzhao.

Michael Wellman
Computer Science & Engineering
2260 Hayward St
Ann Arbor, MI 48109-2121 USA
wellman@umich.edu
