ORFE graduate students Claire Zeng and Jiawei Ge received a SEAS Award for Excellence. This annual award recognizes advanced graduate students in SEAS who have performed at the highest levels as scholars and researchers.
Claire’s research, advised by Professor Rene Carmona, focuses on the optimization of large stochastic systems. After publishing two papers on an application of Mean Field Game models to high frequency trading, and the development of new numerical algorithms to solve these large population equilibriums, she concentrated on the impact of the increased penetration of renewable energy production assets on the electric grid. She developed new algorithms to predict the occurrence of high demand peaks and optimize demand-response management solutions to improve the operation of microgrids. Jiawei’s research, advised by Professor Jianqing Fan, focuses on statistical learning theory and methods, especially “latent variable models”, “uncertainty quantification”, and “transfer learning”, which have profound implications for advancing the state of machine learning in real-world contexts. Jiawei’s flexibility in applying statistical tools has made her a standout researcher, tackling complex problems and addressing pressing challenges with innovative solutions.