Biography

My name is Yue ZHAO (赵越 in Chinese). I am a Ph.D. student at Carnegie Mellon University (CMU), and an ex management consultant at PwC Canada. I am a technical writer at Zhihu with 150,000 followers and more than 15M article reads. As a seasoned ML software/system architect, I have led/participated > 10 ML libraries initiatives, 10,000 GitHub stars (top 0.002%: ranked 800 out of 40M GitHub users), and >300,0000 total downloads. Popular ones:

• [JMLR] PyOD: A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).
• [MLSys] SUOD: An Acceleration System for Large-scale Heterogeneous Outlier Detection (Anomaly Detection).
• TDC: An extensive machine learning data hub for therapeutic tasks (ML for Therapeutic).
• MetaOD: Automating Outlier Detection via Meta-Learning (Anomaly Detection).
• PyHealth: A Python Library for Healthcare AI (ML for Healthcare).
• [AAAI] combo: A Python Toolbox for ML Model Combination (Ensemble Learning).
• [AAAI] TODS: Time-series Outlier Detection System. Contributed to core detection model.

My research focuses on three independent but interleaved streams:

• data mining topics related to outlier detection (anomaly detection)
• machine learning systems (MLSys) that can speed up and/or scale up data mining and machine learning algorithms

At CMU, I work with Prof. Leman Akoglu (Heinz) on anomaly detection, and Prof. Zhihao Jia (CSD) on machine learning systems (MLSys).

General Notes: I am open to ML/DM Internship (2022). Please reach out :)

[#1] I am open to collaboration opportunities (anytime & anywhere) and research internships (summer 2021/2022). I could legally work in United States (CPT), Canada (permanent residency), and China (permanent residency). I have been working with the professionals from both industry and academia (e.g., Stanford, Havard, Facebook).

[#2] Call for review oppt. I am looking for paper review, tutorial, workshop, and talk opportunities (in anomaly detection, scalable ML, machine learning systems, AutoML, information systems, and ensemble learning).

[#3] I host a WeChat group on anomaly detection (异常检测微信讨论组), along with more than three hundred of researchers (e.g., Berkley, MIT, Tsinghua, etc.) and industry people (e.g., Alibaba, IBM, Facebook, etc.) for collaboration and intern/full-time opportunities. Ping me to join!