Yue Zhao

Ph.D. Candidate

Carnegie Mellon University

Unsupervised ML, ML Systems (MLSys), Automated ML, Anomaly Detection

Author of PyOD, PyGOD, ADBench

📰 I am on the market for tenure-track AP positions. I am broadly interested in machine learning (ML), data mining/science, and information systems positions. I am a US and Canadian permanent resident with full work authorization. See my latest CV.

Summary. In June 2023, I will finish my Ph.D. in 3.5 years at Carnegie Mellon University (CMU),
with the support from the CMU Presidential Fellowship and Norton Graduate Fellowship. My research accelerates and automates unsupervised ML: (1) how to support large-scale learning tasks with ML systems and (2) how to automate unsupervised ML model selection and hyperparameter optimization. I build AI/ML applications in healthcare and security.

Research Overview

Mentors. At CMU, I work with Prof. Leman Akoglu for automated data mining, Prof. Zhihao Jia for machine learning systems, and Prof. George H. Chen for general ML. I am a member of CMU automated learning systems group (Catalyst) and Data Analytics Techniques Algorithms (DATA) Lab. I have collaborated with Prof. Jure Leskovec at Stanford and Prof. Philip S. Yu at UIC.

Open-source Contribution: I have led or contributed as a core member to more than 10 ML open-source initiatives, receiving 15,000 GitHub stars (top 0.002%: ranked 800 out of 40M GitHub users) and >12,000,000 total downloads.

I am a dedicated writer with more than 300 articles (in Chinese) and 200,000 followers on Zhihu (知乎) — Chinese Quora (200 million+ registered users). I have been officially recognized as a “Top Writer” (优秀回答者) in four fields (AI, ML, DM, and STAT). My articles have been read by more than 20,000,000 times. See my Zhihu page (微调).

Contact me by Email (zhaoy [AT] cmu.edu) or WeChat @ yzhao062.


  • Unsupervised ML
  • ML Systems (MLSys)
  • Automated ML (AutoML)
  • Anomaly Detection
  • Healthcare AI
  • AI + Security
  • Graph Neural Networks
  • Ensemble Learning


  • Ph.D. Candidate in Information Systems, 2019-2023

    Carnegie Mellon University

  • M.S. in Applied Computing, 2015-2017

    University of Toronto

  • B.S. in Computer Engineering (Minor in Computer Science and Math), 2015

    University of Cincinnati

  • High School Diploma, 2010

    Shanxi Experimental Secondary School 山西省实验中学