Hey There! I'm Jason Tsay*.

I'm a research staff member at IBM Research AI.

I study AI Engineering, or how to improve the experiences of the data scientists, researchers, developers, etc. who work in AI.

My thesis work is in software engineering with a focus on social coding and coordinating in information-rich environments.

Feel free to contact me, or if you're looking to learn more about what I do, please check out my CV and publications.

resume

(I am currently not looking for a position.)

publications

Additional publications on Google Scholar.

  • Tsay, J., Mummert, T., Bobroff, N., Braz, A., Westerink, P., Hirzel, M. 2018. Runway: Machine Learning Model Experiment Management Tool SysML (2018) (pdf)
  • Tsay, J., Dabbish, L. and Herbsleb, J. 2014. Let's Talk About It: Evaluating Contributions through Discussion in GitHub. Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering (2014) (pdf)
  • Tsay, J., Dabbish, L. and Herbsleb, J. 2014. Influence of Social and Technical Factors for Evaluating Contribution in GitHub. Proceedings of the 36th International Conference on Software Engineering (pdf)
  • Tsay, J., Dabbish, L. and Herbsleb, J.D. 2013. Social media in transparent work environments. Cooperative and Human Aspects of Software Engineering (CHASE), 2013 6th International Workshop on (2013) (pdf)
  • Dabbish, L., Stuart, C., Tsay, J. and Herbsleb, J. 2013. Leveraging Transparency . Software, IEEE. 30, 1 (2013), 37-43. (pdf)
  • Dabbish, L., Stuart, C., Tsay, J. and Herbsleb, J. 2012. Social coding in GitHub: transparency and collaboration in an open software repository. Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work (pdf)