Past Events
Data Science Lunch: Arnold Mathijssen
Exploring the physics of life: Combining experimental and theoretical techniques across the disciplines of physics and biology
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 Lydon-Staley
A dynamic network perspective on substance use
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: Sam Dillavou
Emergent Learning Via Sequential Error Mode Reduction
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: Desmond Upton Patton; Aviv Landau
Language analysis and bias in AI; Ethical recommendations for implementing machine learning-based models for detecting child abuse
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: Dan Hopkins
The role of data in race, ethnicity, and immigration research
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: New Postdoc Welcome 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: Sergey Molodtsov, Sunghye Cho, and Erçağ Pinçe
Python data analysis and visualization; Introduction to Automatic Speech Recognition; Image processing and Computer Vision with Deep Learning Tools
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
Python data analysis and visualization: This tutorial will provide basic concepts of data processing and visualization. Introduction to Automatic Speech Recognition: In this tutorial, we will walk through very basics of Automatic Speech Recognition (ASR). Image processing and…
Summer Hangouts: Chang-Yu Chang and Brynn Sherman
The Art of Naming Your Pets and R Objects; Data Visualization with R and ggplot
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
The Art of Naming Your Pets and R Objects: We’ll dive into the world of naming conventions for R objects and functions. Data Visualization with R and ggplot: In this tutorial, we’ll discuss tips and tricks for data visualization in R.
Summer Hangouts: Jingye Yang and Carlos Schmidt-Padilla
Introduction to LLMs and Introduction to Causal Inference
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
Time Instructor Title Description 11:00 – 12:00 Jingye Yang Introduction to LLMs Ever wonder how ChatGPT seem to ‘understand’ what you’re saying? This friendly talk will dive into the world of large language models. We’ll break down how these AI brains learn to chat just like us…
Summer Hangouts: Vlad Ayzenberg, Sam Dillavou, and Kieran Murphy
First steps with Python and Introduction to Machine Learning
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
First steps with Python: Similar to the “First steps with R” tutorial last week, we’ll take an introductory walk through Python for data science. Introduction to Machine Learning: how do you make a machine learn?