Past Events
AI + Us
AI is everywhere, but talking about it doesn’t require a PhD
The Garage at Yards Brewery
500 Spring Garden St.
Philadelphia, PA 19123
Where AI meets real life. AI + Us is a new public event series from Penn AI and the Data Driven Discovery Initiative designed to bring conversations about artificial intelligence out of the lab and into the real world. Join us at Yards Brewery for an evening of lively, accessible…
AI x Science Seminar: Mert Sabuncu
Ways to handle distribution shift and missingness in AI for medical diagnosis
Amy Gutman Hall, Room 414
Medical diagnosis can be naturally framed as a classification problem: inferring an underlying pathology from observed (e.g., imaging) data. A common failure mode in classification is shortcut learning, where models exploit spurious or confounding correlations. Shifts in patient…
AI x Science Seminar: Steve Sun
Generative constitutive laws as graphs and tree
Amy Gutman Hall, Room 414
Capturing path- and rate-dependent behaviors of solids, such as creeping, plastic deformation, damage, and fracture, often requires interpreting and quantifying relationships among the histories of variables, such as dislocation density and porosity. This relational information…
AI x Science Seminar: Pranam Chatterjee
Designing Programmable Molecules with Generative Sequence Models
Amy Gutman Hall, Room 414
The Chatterjee Lab at the University of Pennsylvania develops generative algorithms to design functional molecules directly from sequence. Our work begins with a question: can short peptides be de novo designed to bind undruggable targets like disordered oncogenic fusions…
AI x Science Seminar: Bhuv Jain
Machine Learning in Cosmology
Amy Gutman Hall, Room 414
Professor Jain will describe how we map dark matter from large surveys of galaxies via gravitational lensing. Testing theories of cosmology with maps of galaxies and dark matter is a rich area for machine learning. He will describe the ‘old-fashioned’ physics-based approaches and…
PPE, SRDA, DASA Mixer
PCPSE Forum (2nd Floor)
Interested in adding philosophy, politics, data, or survey research to your degree? Join the PPE × SRDA × DASA Mixer on October 16, 11:30 AM–1:00 PM in the PCPSE Forum (2nd Floor) to meet students and staff across the major and both minors to see if any of these programs might be…
AI x Science Seminar: René Vidal
Learning dynamics in the feature-learning regime: implicit bias, robustness, and low-rank adaptation
Amy Gutman Hall
Room 414
This talk will present new insights into the learning dynamics of gradient flow in the feature-learning regime. For separable data, we show that gradient flow learns a simple ReLU network with two neurons corresponding to the two classes. For data drawn from an orthogonal…
AI Research Mixer
Amy Gutmann Hall
3317 Chestnut Street
You are invited to attend the 2025 AI Research Mixer, a full-day event featuring faculty presentations, poster sessions, and networking opportunities that highlight the breadth of artificial intelligence research taking place across Penn. This year's event is co-hosted by the…
AI x Science Seminar: Eva Dyer
Building unified models of neural data across tasks, modalities, & species
Amy Gutmann Hall, Room 414
Neural activity is complex, dynamic, nonlinear, and high-dimensional, and the datasets we collect from the brain are equally varied. This richness makes analysis difficult, and models trained on narrow conditions rarely generalize. Rather than seeking to simplify the problem, we…
AI x Science Seminar: Nat Trask
Geometric and physics structure preservation in scientific machine learning
Amy Gutman Hall, Room 414
In scientific machine learning, researchers construct simulators of physical systems which are either computationally expensive or intractable to model with conventional simulation tools. Despite impressive steps in the last couple years, these techniques generally fail to meet…
