Data Science Lunches

Data Science Lunches

During the academic year, our postdoctoral fellows meet most Tuesdays from 12pm – 1:30pm in the PSC 5th Floor Collaboration Space for an informal lunch with a Penn faculty guest speaker. Each speaker then leads the group in a casual discussion regarding the use of data science in their research. Discussions vary in content, but tend to focus on the applications of machine learning and artificial intelligence in various academic disciplines.

We encourage open conversation and the exchange of ideas at each lunch, thus fostering a collaborative environment among fellows and faculty alike. As such, these lunches provide an excellent opportunity for our fellows to make interdisciplinary connections and discover new ways to utilize data science in their own research.

Upcoming Data Science Lunches

No events are currently scheduled.
Please check back soon.

Past Data Science Lunches

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: 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 Lunch: Michael Kearns

Applications of machine learning to problems in algorithmic trading and quantitative finance

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 Sciences Lunch: Kieran Murphy

Understanding complex systems by focusing on constituent pieces

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: David Kirk

Why people commit crime and finding innovative solutions to help them stop

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: Benjamin Shestakofsky

The sociology of artificial intelligence

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: Sudeep Bhatia

Examining the cognitive basis of human judgment and decision-making with the use of mathematical and computational models

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: Carlos Schmidt-Padilla

The influence of organized crime on fragile democracies

 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: Andrea Liu

Utilizing a combination of analytical theory and computation to investigate soft and living matter

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: Vlad Ayzenberg

Understanding the mechanisms that support early developing perceptual abilities in human infants

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.