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: Erik Wibbels
Machine Learning for Peace: Utilizing machine learning and data analytics to enhance democracy promotion and crisis response efforts worldwide
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Greg Ridgeway
The development of statistical, computational, and analytical methods to improve our understanding of crime and the functioning of the justice system
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: René Vidal
The mathematical foundations of deep learning and applications to high-dimensional biomedical datasets
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Lyle Ungar
Understanding the drivers of physical and mental well-being using social media and cell phone sensor data
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Andrew Zahrt
How machine learning can be used to streamline analysis, optimization, and discovery tasks in the lab
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Brynn Sherman
How the separate effects of both acute stress and sleep affect both memory formation and learning pathways in the brain
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: John Lapinski
The role of machine learning in election race projections
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Masao Sako
The development and application of new deep learning methods to map out a detailed history of the Universe’s expansion
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Sarah Tishkoff
Combining fieldwork, laboratory work, and computational approaches to address fundamental questions about modern human evolutionary history in Africa
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Andrew Koepp
Studying how young children learn to manage their attention and behavior in the classroom using wearable technology
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104