Past Events
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…
AI × Science Seminar: Jacob Gardner
Extracting knowledge priors from scientific texts for de novo molecular design
Amy Gutman Hall
Room 414
This talk will explore a large-scale effort to exploit the natural-language understanding capabilities of large language models in order to unlock information about the structure, function, and biological activity for proteins, small molecules, genetic variants, and other…
Summer Hangouts: Supranta S. Boruah
Diffusion Models in Action: From Toy Problems to Dark Matter Maps
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
Diffusion models have emerged as powerful tools in generative modeling, achieving impressive results across different domains. In this tutorial, we’ll explore how these models can be adapted to tackle a cosmological challenge: mapping dark matter in the Universe.
Summer Hangouts: Sourav Dey
Bayesian optimization, with applications in chemical reaction discovery and optimization
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
Machine learning in the low data regime. How do you find the optimal solution to a problem when the objective function is expensive to evaluate. We will also discuss how to optimize these types of black box functions in a sparse space.
Summer Hangouts: Coby Viner
Speeding up science: GNU Parallel for bioinformatics and beyond
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
This session introduces GNU Parallel—the shell utility that can launch thousands of jobs simultaneously, harnessing every CPU core (or even multiple machines) with a single command.
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.
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?
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.
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…
