Berkeley Institute of Design

Spring 2018 Seminar Series

Tuesdays 12-1pm, BiD Lab Hearst Memorial Mining Building 354/360

The BiD Seminar Series is a weekly graduate-level seminar that probes topics spanning human-computer interaction, mechanical design, education, architecture and art practice.

Invited speakers join us from academia, industry, research, and practice from around the world. The seminar is open to the Berkeley community and the general public.

Next up ...

Understanding students from visual output of graphics-based assignments

24 April, 12-1 PM, BiD Lab

Lisa Yan
Stanford University PhD Candidate

Lisa Yan is a PhD candidate in Electrical Engineering at Stanford University advised by Nick McKeown and Chris Piech. Her research is at the intersection of machine learning and computer science education. She is particularly interested in leveraging data to grade and identify struggling students in large introductory computer science courses. Her projects range from developing an effective detection scheme for excessive collaboration and connecting it to learning efficacy to applying computer vision techniques in deep learning to grade and visualize graphics-based introductory programming assignments. Lisa holds an MS in Electrical Engineering from Stanford University, and a BS in Electrical Engineering from Stanford University; she is an NSF Graduate Research Fellow.


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