Workshop on Time Series Forecasting and Performativity

Shi Bin (Liam) Hoo is a master’s student at the University of Freiburg, working with Prof. Dr. Frank Hutter. He started out in Robotics and Mechatronics at NTU Singapore, then spent a few years building autonomous robots in the real world. Now, he’s researching foundation models for tabular and time-series data—and exploring how the two areas can inform and strengthen each other. He enjoys finding simple solutions to complex problems—and turning them into tools people actually use.

Stefano Gallo is a PostDoc within the MLSES group focusing on time series forecasting for electricity prices. Before coming to Tübingen, he did his PhD in Astrophysics at Paris-Saclay University.

Jiduan Wu is a second-year Ph.D. student at the Max Planck ETH Center for Learning Systems, jointly supervised by Prof. Moritz Hardt and Prof. Niao He. She obtained her master’s degree at D-INFK of ETH Zurich and her bachelor’s degree from the School of Mathematical Sciences at the University of Science and Technology of China. She is broadly interested in deepening the understanding of dynamical systems within the context of human-prediction interactions such as performativity, resource allocation using predictive systems, policy design, and etc.

Yatong Chen is a Research Group Leader in the Social Foundations of Computation Department at the Max Planck Institute for Intelligent Systems, hosted by Professor Moritz Hardt. She received her Ph.D. in Computer Science and Engineering from the University of California, Santa Cruz, advised by Professor Yang Liu. Her research centers on the social dimensions of machine learning, with a particular focus on how human decision-making and strategic behavior influence the design and deployment of algorithmic systems. Her work bridges statistics, game theory, and computational social science to study how policy, incentives, and social structures interact with automated decision-making. In 2022, she was a Student Researcher at Google Brain. Yatong holds an M.S. in Statistics from Stanford University and dual bachelor’s degrees in Energy and Resources Engineering and Economics from Peking University.