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Thursday, June 13, 2024 4:00 pm - 5:00 pm EDT (GMT -04:00)

Dean’s Distinguished Women in Mathematics, Statistics, and Computer Science Lecture Series • The Data Struggle of the Unseen

Please note: This distinguished lecture will take place in DC 1302.

Bhramar Mukherjee
John D. Kalbfleisch Distinguished University Professor of Biostatistics
University of Michigan

Despite several proposed roadmaps to increase diversity in scientific research, most of the world’s research data are collected on people of European ancestry. We rely on summary statistics from historically privileged populations and then devise clever statistical methods to transfer/transport them for cross-ancestry use.

Friday, June 21, 2024 10:00 am - 11:00 am EDT (GMT -04:00)

PhD Seminar • Artificial Intelligence • A Simple Mixture Policy Parameterization for Improving Sample Efficiency of Conditional Value at Risk Optimization

Please note: This PhD seminar will take place in DC 2585 and online.

Yudong Luo, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Pascal Poupart

Thursday, July 4, 2024 11:00 am - 12:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Human-Computer Interaction • Technology Design Recommendations Informed by Observations of Videos of Popular Musicians Teaching and Learning Songs By Ear

Please note: This master’s thesis presentation will take place in DC 3317.

Christopher Liscio, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Dan Brown

Tuesday, July 2, 2024 10:30 am - 11:30 am EDT (GMT -04:00)

Master’s Thesis Presentation • Data Systems • Triangle Count Estimation and Label Prediction Over Uncertain Streaming Graphs

Please note: This master’s thesis presentation will take place online.

Ipsita Mohanty, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor M. Tamer Özsu

Thursday, June 6, 2024 1:30 pm - 2:30 pm EDT (GMT -04:00)

Seminar • Software Engineering • Inner-Source Software Development

Please note: This seminar will take place in DC 1304.

Dirk Riehle, MBA
Professor of Open Source Software
Friedrich-Alexander University of Erlangen-Nürnberg

Inner-source software development is the use of open source practices for firm-internal software development. In inner source, developers collaborate across organizational silo boundaries for higher code quality, more code reuse, and better knowledge sharing, while improving employee satisfaction.