I am interested in helping distributed and interdisciplinary software teams to collaborate more efficiently, especially in the context of modern open-source collaboration forms, fork-based development, and interdisciplinary teams when building AI-enabled systems or scientific software. To achieve my goals, I combine advances in tooling and software engineering principles with insights from other disciplines that study human collaboration, for which I combine and mix a wide range of research methods. I discover and evaluate existing interventions and develop new ones that steer collaborative development toward better practices.
Interdisiplinary Research, Software Engineering (SE), Empirical SE, SE for AI, Collaborative Software Development, Fork/Branch/Pull-based Development, GitHub, Open Source
I am actively looking for talented, motivated colleagues at different levels.
I received my Ph.D.'s degree in May. 2020 from the Institute for Software Research, 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 in Software Enigneering from Peking University in 2014, and my Bachelor's degree in Software Engineering from Xi'an Jiaotong University in 2011.
[Invited Talk at CSER'20] Improving Collaboration Efficiency for Distributed and Interdisciplinary Software Teams.
My Ph.D. work on Forking was featured on the Sustain Open Source Podcast.
Successfully defended my Ph.D thesis: "Improving Collaboration Efficiency in Fork-based Development"!
Sep. 11 2020
Talked about Forking in Open Source at Sustain Open Source Podcast