Past Events
Data Science Lunch: Xinquan Huang
Amy Gutmann Hall
Room 615
Xinquan Huang is currently working with Prof. Paris Perdikaris and Prof. Nat Trask on generative models in science and engineering. His research interests span the areas of physics-informed machine learning, operator learning, generative modeling using diffusion models and their…
Data Science Lunch: Vlad Ayzenberg
Using Machine Learning to Test Neural Development in Infants
Amy Gutmann Hall
Room 615
Vlad Ayzenberg is a developmental cognitive neuroscientist who is interested in understanding the mechanisms that support early developing perceptual abilities in human infants. Because measuring the underlying processes of the infant brain is incredibly challenging, Vlad uses…
Data Science Lunch: Hancheng Min
Facilitating the interplay between machine learning and dynamical systems
Amy Gutmann Hall
Room 615
Hancheng Min is a machine learning theorist whose research centers around building mathematical principles that facilitate the interplay between machine learning and dynamical systems, working with Prof. René Vidal. His recent research focus has been on understanding the…
Data Science Lunch: Dolores Albarracín
Machine learning and health behavior change
Amy Gutmann Hall
Room 615
Dolores Albarracín is a Penn Integrates Knowledge Professor and the director of the Social Action Lab. She studies the impact of communication and persuasion on human behavior and the formation of beliefs, attitudes, and goals, particularly those that are socially beneficial…
CAMS: Careers in Data Science
Arch 208
Penn Arts & Sciences College Alumni Mentoring Series (CAMS) and the Data-Driven Discovery Initiative (DDDI) are excited to present a career mentorship event focused on Data Science Careers. Students will have the opportunity to explore the wide variety of data-driven careers…
AI for Science Seminar: Learning as Manifold Packing
Amy Gutmann Hall
Room 414
This talk will explore how concepts from statistical and soft matter physics can be leveraged to analyze neural manifold packing dynamics under stochastic gradient descent and related optimization algorithms.
Data Science Lunch: Hamsa Bastani
Developing innovative machine learning algorithms for learning and optimization
Amy Gutmann Hall
Room 615
Hamsa Bastani is an Associate Professor of Operations, Information, and Decisions at the Wharton School, with a secondary appointment in Statistics and Data Science. She also serves as co-director of the Wharton Healthcare Analytics Lab. Her research focuses on developing…
Data Science Lunch: Marc Schmidt
Leveraging machine learning to analyze social interactions in birds
Amy Gutmann Hall
Room 615
Marc Schmidt is a professor in Penn’s Department of Biology. His research focuses on the neural mechanisms underlying courtship displays in birds, particularly vocal and non-vocal behaviors in the brown-headed cowbird. His lab employs a range of approaches, from studying neural…
Join us for the first AI for Science Seminar!
Closing the Gap Between Scientific Foundation Models and Real-World Applications
Amy Gutmann Hall
Room 414
This talk is motivated by recent triumphs in weather and climate modeling, and discusses potentials, breakthroughs, and remaining challenges in fluid dynamics and related engineering fields.
Data Science Lunch: Marc Miskin
Building deployable, autonomous machines that operate at the cellular scale
PSC 5th Floor Collaboration Space
During the academic year, our postdoctoral fellows meet most Tuesdays from 12pm – 1:30pm for an informal lunch with a Penn faculty guest speaker.