My name is Yue ZHAO (赵越 in Chinese). I am pursuing a Ph.D. in Machine Learning and Public Policy (expected) at Carnegie Mellon University. At CMU, I have been fortunate to work with Prof. Leman Akoglu and Prof. Pedro Ferreira. I focus on:
[#1] I am open to collaboration opportunities (anytime & anywhere) and research internships (open for Summer 2021). 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 (U Toronto, UIUC, Texas A&M University, Tsinghua U, Purdue University, Northeastern U, IQVIA, Adobe, PwC, Arima, etc.).
[#2] I am actively looking for paper review, tutorial, workshop, and talk opportunities (in anomaly detection, AutoML, ensemble learning, scalable ML, and learning systems).
[#3] I host a WeChat group on anomaly detection (异常检测微信讨论组), along with more than a hundred of researchers (e.g., Berkley, Tsinghua, etc.) and industry people (e.g., Alibaba, IBM, Faceboook, etc.) for collaboration and intern/full-time position opportunities. Ping me to join!
[#4] In addition to develop the most popular outlier detection toolbox PyOD, I am also maintaining a knowledge repository for anomaly detection resources for related books, papers, videos, and toolboxes. Check out to know more about the field!
Ph.D. in Machine Learning and Public Policy (expected), 2019-2024
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