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
Past Data Science Lunches
Data Science Lunch: Daniel Rock
The effects of artificial intelligence on productivity and the labor market
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Thanksgiving Lunch
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Bhuv Jain
Cosmology, gravitational lensing, and the application of machine learning to astronomy
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Nat Trask
Integrating contemporary machine-learning principles into conventional physics-based models
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Eric Wong
Debugging machine learning systems to enhance system reliability
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Zack Ives
The intersection of machine learning, distributed systems, and databases, and its application to the life sciences
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Pratik Chaudhari
Integrating concepts from physics, information theory, and neuroscience to investigate theoretical challenges in deep learning
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
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
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
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