Past Events
Summer Hangouts: Tess Cherlin
From Data to Insight: Applying Survival Analysis in Clinical Research
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
In this tutorial, we will use simulated clinical data and apply survival analysis methods to explore disease outcomes.
Data Science Summer Hangouts Series 2025
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
DDDI's 2025 Summer Hangouts program offers students the opportunity to participate in informal, hands-on tutorials led by our postdoctoral research fellows.
Summer Hangouts: Sam Dillavou and Kieran Murphy
Introduction to Machine Learning
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
What is machine learning, how is it used, what does it do well, and where does it go wrong?
AI for Science Seminar: "A Foundation Model for the Earth System"
AGH 414
Reliable forecasts of the Earth system are crucial for human progress and safety from natural disasters. Artificial intelligence offers substantial potential to improve prediction accuracy and computational efficiency in this field, however this remains underexplored in many…
Data Science Lunch: Stefano Puntoni
Amy Gutmann Hall
Room 615
Stefano Puntoni is the Sebastian S. Kresge Professor of Marketing at the Wharton School, as well as the co-director of AI at Wharton. His research explores how emerging technologies, particularly AI, are transforming consumption and society. Focusing on the psychology of AI, he…
Scientific AI
Glandt Forum
Join researchers from across the School of Arts and Sciences as they explore how advancements in AI are transforming their work and unlocking new frontiers in their fields.
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…
