Past Events
Data Science Lunch: Sourav Dey
Creating machine learning tools for the characterization of unknown molecules in complex chemical mixtures
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
During the academic year, our postdoctoral fellows meet most Tuesdays from 12pm – 1:30pm for an informal lunch with a Penn faculty guest speaker.
How to Use Large Language Models
Room 10, Leidy Labs (3740 Hamilton Walk)
MindCORE and DDDI are excited to co-host an event featuring Lyle Ungar and Konrad Korning on Friday, September 27, at 12 PM. Join us for their talk, "How to Use Large Language Models," and explore the capabilities of tools like ChatGPT for effective data analysis and writing…
Data Science Lunch: Marcelo Guzmán
Integrating theoretical approaches with simulations to explore learning and adaptation in physical networks
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
During the academic year, our postdoctoral fellows meet most Tuesdays from 12pm – 1:30pm for an informal lunch with a Penn faculty guest speaker.
Data Science Lunch: Adrien Thob
Generating synthetic star surveys from simulated galaxy data for next-gen observatories
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
During the academic year, our postdoctoral fellows meet most Tuesdays from 12pm – 1:30pm for an informal lunch with a Penn faculty guest speaker.
Data Science Lunch Series
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
An informal lunch with a Penn faculty guest speaker. Each speaker leads the group in a casual discussion regarding the use of data science in their research. Discussions tend to focus on applications of machine learning and artificial intelligence in the natural and social…
Data Science Lunch: Welcome Back Lunch
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
During the academic year, our postdoctoral fellows meet most Tuesdays from 12pm – 1:30pm for an informal lunch with a Penn faculty guest speaker.
Summer Hangouts: Russell Richie
Simulation as a Tool for the (Cognitive) Modeler
Collaborative Classroom in Van Pelt-Dietrich Library
How/when should the (cognitive) modeler use simulation? Special attention will be paid to parameter/model recovery simulations.
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?
Summer Hangouts: Emerson Arehart
Time series forecasting with models and data
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
Science often involves forecasting future behavior based on past observations, but this can be very challenging when you have limited observations of a system. We will discuss methods for augmenting limited datasets with theoretical models to improve forecasting success. Slides…
Summer Hangouts: Carlos Schmidt-Padilla
Introduction to Causal Inference for Data Science
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
This tutorial will explain how causal inference can help reveal cause-and-effect relationships between variables or events, and explore its applications in technology, health sciences, and the social sciences.