Assistant Professor
University of Toronto
Department of Electrical & Computer Engineering
Department of Computer Science (Cross-Appointment)
Department of Mechanical & Industrial Engineering (Cross-Appointment)
Schwartz Reisman Institute (Affiliated)
Data Sciences Institute (Member)
shurui (dot) zhou (at) utoronto (dot) ca
Office: [D. L. Pratt Building (6 King's College Road)] PT484D
Phone: 416-978-4628
I direct the FORCOLAB at the University of Toronto. We are focusing on helping distributed and interdisciplinary software teams to collaborate more efficiently and build high-quality software systems, especially in the context of modern open-source collaboration forms, fork-based development, and interdisciplinary teams when building AI-enabled systems or scientific software. We also apply software engineering best practices to facilitate better collaborative Computer-Aided Design (CAD). Please find our publications here.
I received my Ph.D.'s degree in May. 2020 from the Institute for Software Research, now called Software and Societal Systems Department (S3D), School of Computer Science at Carnegie Mellon University. I am very fortunate to work with my advisor Professor Christian Kästner, and my ‘informal’ advisor and collaborator Professor Bogdan Vasilescu. I received my Master's degree from Peking University, and my Bachelor's degree from Xi'an Jiaotong University.
I am actively looking for talented, motivated colleagues at different levels to join us. See here for detail.
I am organizing the two-day Hackathon&Symposium on "Responsible LLM-Human Collaboration", co-PIed with Prof. Syed Ishtiaque Ahmed, Prof. Shion Guha, Prof. Lisa Austin, and Prof. Anastasia Kuzminykh, sponsored by the Data Sciences Institute (DSI) Emergent Data Sciences Program at UofT. Join us at this dynamic two-day event on responsible LLM_human collaboration!
Our paper "Who to Blame: A Comprehensive Review of Challenges and Opportunities in Designer-Developer Collaboration", co-authored with Shutong Zhang, Tianyu Zhang, and Prof. Jinghui Cheng. has been accpeted to the CSCW2025!
Our paper "The Product Beyond the Model -- An Empirical Study of Repositories of Open-Source ML Products", co-authored with Nadia Nahar, Haoran Zhang, Grace Lewis, and Christian Kästner. has been accpeted to the ICSE2025!
Our paper "Can We Do Better with What We Have Done? Unveiling the Potential of ML Pipeline in Notebooks", co-authored with Yuangan Zou (MEng), Xinpeng Shan (Undergrad at DCS), and Shiqi Tan (Undergrad at ECE) has been accpeted to the ICSME2024!
I gave a talk (online) at the Center for Wireless, Communities and Innovation (WiCI) at Iowa State University about "Exploring the Practices and Challenges of Collaboration in Developing Scientific Open-Source Software".
Our paper "A Lot of Moving Parts": A Case Study of Open-Source Hardware Design Collaboration in the Thingiverse Community, co-authored with Kathy Cheng, and Prof. Alison Olechowski has been accpeted to the CSCW2024!
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Jun 6, 2024
Invited Talk at WiCI Seminars at Iowa State University about "Exploring the Practices and Challenges of Collaboration in Developing Scientific Open-Source Software".
Apr 26, 2022
Invited Talk at It Will Never Work in Theory about "Understanding the sustainability challenges for building open-source scientific software".
Sep 25, 2022
Invited Talk at NumFOCUS Project Summit about "Towards sustainable OSS communities".
April. 5, 2022
Invited Talk at SMILE (Statistics and MachIne LEarning Journal Club, Department of Astronomy & Astrophysics, University of Toronto) -- Improving Collaboration Efficiency for Building AI-based Software.
Oct 20. 2021
Invited Talk at Perceive'21 -- Improving Collaboration Efficiency for Building AI-based Software. [Recording]
Nov 14. 2020
Invited Talk at CSER'20 -- Improving Collaboration Efficiency for Distributed and Interdisciplinary Software Teams.
Sep. 11 2020
Talked about Forking in Open Source at Sustain Open Source Podcast
May. 5 2019
Dagstuhl Seminar 19191
-- Software Evolution in Time and Space: Unifying Version and Variability Management. [Seminar abstract] [lighting talk - Version Control For AI]
I received the Gordon Slemon Teaching of Design Award in 2022 at UofT ECE for revamping of ECE444.