The Center for Innovation in Data Engineering and Science (IDEAS) and the Data-Driven Discovery Initiative (DDDI) welcome the inaugural cohort of the Penn AI x Science Postdoctoral Fellows Program! This unique fellowship supports postdoctoral researchers working at the intersection of science, machine learning, and artificial intelligence across the School of Engineering and Applied Science (SEAS) and the School of Arts and Sciences (SAS).
The program’s mission is to foster innovation and excellence by promoting interdisciplinary collaboration among fellows and faculty from across Penn’s schools. Fellows benefit from sustained peer interactions, broad exposure to world-class faculty, and opportunities for cross-school mentorship. The new AI x Science fellows will join a community of exceptional Data-Driven Discovery postdoctoral fellows from across the natural and social sciences.
This year, we are excited to welcome Noemi Aepli (linguistics diversity & NLP), Yahav Bechavod (reliable & fair ML), Sourav Dey (chemistry & ML), Nicolò Dal Fabbro (distributed multi-agent AI), Marcelo Guzmán (physics-based learning), Xinquan Huang (neural PDEs & digital twins), Hancheng Min (dynamical systems & ML), Kieran Murphy (information localization), Melanie Segado (movement-based biomarkers), Brynn Sherman (cognition & memory), and Yan Sun (trustworthy ML & model calibration) as the first cohort of the Penn AI x Science Postdoctoral Fellows Program. Congratulations to all our new fellows!