📰 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.

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).