Teaching

• CS7140, Advanced Machine Learning, Spring 2021, Spring 2022, Spring 2023, Spring 2025, Spring 2026.

• DS5220, Supervised Machine Learning and Learning Theory, Fall 2021, Fall 2022, Fall 2024.

• CS4100, Principles of Artificial Intelligence, Fall 2025.

• CS6140, Machine Learning, Fall 2023.

• DS4400, Machine Learning and Data Mining I, Spring 2023.

• CS7180, Special Topics in AI (Algorithmic and Statistical Aspects of Deep Learning), Fall 2020. Note: The content of this course has evolved and is now subsumed by CS7140.

Professional services

• Area Chair: NeurIPS, ICML, ICLR, KDD, AISTATS, AAAI, and ALT.

• Action Editor: Transactions on Machine Learning Research, Journal of Data-Centric Machine Learning Research.

• Session Organizer: INFORMS.

• Reviewer and Panelist: Journal of Machine Learning Research; National Science Foundation.

Research activities

• Within Northeastern, I have been affiliated with the Theoretical Computer Science Group.

• I also coordinate a mailing list broadly around the foundations of machine learning, including statistics, learning theory, optimization, and operations research. If you are interested in speaking at Northeastern, please let me know!

Awards

• Featured Certification, Transactions on Machine Learning Research (2026, 2023)

• New Faculty Highlight, Association for the Advancement of Artificial Intelligence, 2023

• Best Paper Award, Conference on Learning Theory, 2018

Education and experience

• October 2019 to July 2020: Postdoc, Statistics and Data Science, University of Pennsylvania

• September 2013 to September 2019: Ph.D., Computer Science, Stanford University

• July 2012 to July 2013: Research Assistant, School of Mathematical and Physical Sciences, Nanyang Technological University

• September 2008 to June 2012: B.Eng., Computer Science and Technology, Shanghai Jiao Tong University

Personal: My Chinese name is written as 张泓洋.