Four Penn professors have been recognized as 2025 Sloan Research Fellows.
Professors Jason Altschuler, César de la Fuente, Liang Wu, and Anderson Ye Zhang were included on a list of 126 other fellows, who together make up “the most promising early-career scientists working today” in both the United States and Canada. Selected out of over 1,000 applicants, each professor will receive a two-year, $75,000 research fellowship.
Statistics and Data Science professor Anderson Ye Zhang — who has a secondary appointment in the Department of Computer and Information Science — received his Ph.D. in statistics and data science from Yale University. His interests center largely around the theory and application of statistics and machine learning.
Liang Wu, named a Sloan Fellow for his contributions to the field of physics, is an experimental condensed matter physicist and Physics and Astronomy professor in the College of Arts and Sciences.
Before coming to Penn, Wu was a postdoctoral fellow at the University of California at Berkeley and a graduate research assistant at Johns Hopkins University. His research interests include topological insulators, semimetals and superconductors, 2D magnets, and liquid crystals, among other areas.
César de la Fuente has been named a Sloan Fellow for his work in the field of chemistry. A Presidential Associate Professor in the department of Chemistry at the School of Arts and Sciences and in the department of Psychiatry at the Perelman School of Medicine, de la Fuente received his Ph.D. from the University of British Columbia and completed postdoctoral research at the Massachusetts Institute of Technology. He is one of the youngest tenured professors in the Medical School’s history.
De la Fuente’s work uses machine power and AI to make discoveries in the fields of biology and medicine. Notably, he pioneered the first computer-designed antibiotic with efficacy in animal models. De la Fuente is also an elected Fellow of the American Institute for Medical and Biological Engineering and was recognized by MIT Technology Review as one of the world’s top innovators for “digitizing evolution to make better antibiotics.” He has received over 80 other national and international awards.
Statistics and Data Science professor Jason Altschuler has two secondary appointments in the departments of Computer and Information Science and Electrical and Systems Engineering. He is also an affiliated faculty member in the Department of Applied Mathematics and Computational Science, the PRiML forum, and the Warren Center for Networks and Data Science.
Altschuler has a Ph.D. in electrical engineering and computer science from MIT, and he was previously a Faculty Fellow at New York University’s Center for Data Science. He has been awarded the Sloan fellowship for his contributions to the field of mathematics. His research interests include optimization, probability, and machine learning, with a focus on the design and analysis of large-scale algorithms.
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