Stay up-to-date with the latest AI-related events at Penn, featuring novel research, applications, and educational advances.
NEW PROGRAM — Artificial Intelligence, BSE has opened at Penn Engineering.
All Events
Join us for the Spring 2026 Penn AI Seminar
The Spring 2026 Penn AI Seminars will offer a bi-weekly glimpse into state-of-the-art developments in Artificial Intelligence across several different fields, discussed by professionals in their respective specialties, beginning January 27th.
January 27th Penn AI Seminar: Designing Programmable Biologics with Discrete Generative Models with Professor Pranam Chatterjee
This seminar will feature Professor Pranam Chatterjee, an Assistant Professor of Bioengineering, Computer and Information Science, and the Africk-Lesley Distinguished Scholar of Innovation in Engineering at the University of Pennsylvania, whose hybrid-lab develops new generative models for the de novo design of molecules for therapeutic and bioremediation applications, spanning from theoretical algorithm development to pre-clinical validation in vivo and deployment in the field.
Professor Pranam Chatterjee will be discussing how the Chatterjee Lab at the University of Pennsylvania develops generative algorithms to design functional biologics directly from sequence.
🔬 Join the Machine Learning for Microscopy Hackathon – Where AI Meets the Nanoscale World
Are you passionate about pushing the boundaries of science and technology? The Machine Learning for Microscopy Hackathon invites students, researchers, and professionals from across disciplines to collaborate on solving real-world microscopy challenges using cutting-edge AI and machine learning tools.
Why Participate?
This isn't just another hackathon—it's an opportunity to bridge two transformative fields: microscopy and machine learning. The event is open to everyone, regardless of background or experience, with the goal of building a bridge between microscopy and machine learning communities. Whether you're a microscopist looking to harness the power of AI or an ML expert curious about nanoscale science, this event is designed for you.
What You'll Experience:Hands-on Problem Solving: Work on real challenges spanning electron microscopy, scanning probe microscopy, chemical imaging, data analytics, automated experimentation, and more
Interdisciplinary Collaboration: Join small teams that blend diverse expertise—from image analysis and optimization to materials characterization
Expert Mentorship: Learn from renowned speakers including experts from University of Tennessee, Oak Ridge National Laboratory, and leading research institutions
Flexible Participation: Hybrid format with virtual and in-person options, plus organizer support throughout the event
Recognition & Impact: Past participants have been recognized by the Microscopy Society of America Student Council for their outstanding work, and projects have led to publications and benchmark datasets
Who Should Join?Microscopists from any field seeking to integrate ML into their workflow
Data scientists and ML practitioners interested in applying their skills to real scientific problems
Students and postdocs eager to gain interdisciplinary experience
Anyone curious about the intersection of AI and nanoscale science
No coding expert? No problem! Prior programming experience is recommended but not required, and resources are provided to help you get started.
The Impact:This hackathon bridges the gap between ML and microscopy communities, fostering development of novel solutions while preparing the next generation workforce for instrumentation, materials science, and applied ML. Your contributions could help create benchmark datasets, develop digital twins of microscopes, and advance standardized workflows that benefit the entire research community.
Ready to Make an Impact?Don't miss this chance to collaborate with talented peers, learn from experts, tackle meaningful challenges, and potentially see your work recognized on an international stage.