2022 PL+HCI School
(PL = programming languages, HCI = human-computer interaction)
Dates: August 15-18, 2022
Time: 10:30 AM – 2:00 PM US/Eastern Time
Location: Virtual Participation
Registration: Register to attend and receive email updates about this event.
BIDS Faculty Affiliate Sarah Chasins and BIDS Alum Elena Glassman are co-organizers of the 2022 PL+HCI School. The year's event is free to attend, with a tentative time schedule optimized for virtual attendance from the US West Coast to Eastern Asia and Australasia. It expands upon the 2020 PL+HCI Swimmer School, for which the slides and talk recordings are openly accessible.
Sarah Chasins, Assistant Professor of Electrical Engineering and Computer Science Division at UC Berkeley. Elena Glassman, Assistant Professor of Computer Science at the Harvard Paulson School of Engineering & Applied Sciences (SEAS), and the Stanley A. Marks & William H. Marks Professor at the Radcliffe Institute for Advanced Study. Shriram Krishnamurthi, Professor of Computer Science at Brown University. Hila Peleg, Senior Lecturer at the Technion, Haifa.
Questions about this event may be addressed to email@example.com.
Sarah E. Chasins joined the UC Berkeley EECS faculty in 2020. Her lab invents usable programming tools to democratize computation, especially to empower social scientists, journalists, and other non-traditional programmers. Her research focuses on programming languages (PL) and program synthesis, with an emphasis on (i) work at the intersection of PL and human-computer interaction, and (ii) work at the intersection of PL and social good.
Former BIDS Data Science Fellow Elena Glassman is an Assistant Professor of Computer Science at the Harvard Paulson School of Engineering & Applied Sciences (SEAS), and the Stanley A. Marks & William H. Marks Professor at the Radcliffe Institute for Advanced Study. At Berkeley, Glassman was an EECS postdoctoral researcher at the Berkeley Institute of Design, advised by Bjoern Hartmann. She earned her EECS PhD at MIT CSAIL in August 2016, where she created scalable systems that analyze, visualize, and provide insight into the code of thousands of programming students. Prior to entering the field of human-computer interaction, she earned her M.Eng. in the MIT CSAIL Robot Locomotion Group. She was a visiting researcher at the Stanford Biomimetics and Dextrous Manipulation Lab and a summer research intern at both Google and Microsoft Research, working on systems that help people teach and learn. Before receiving the BIDS Moore/Sloan Data Science Fellowship, she was awarded the Intel Foundation Young Scientist Award, both the NSF and NDSEG graduate fellowships, the MIT EECS Oral Master’s Thesis Presentation Award, a Best of CHI Honorable Mention, and the MIT Amar Bose Teaching Fellowship for innovation in teaching methods.