I am currently pursuing a Joint Ph.D. degree in Machine Learning & Public Policy (TBC) at Carnegie Mellon University (CMU). I am advised by Prof. Leman Akoglu and Prof. Amelia Haviland. My interest span data mining algorithms, systems, applications, and real-world implications. After I joined the Heinz College, Information systems, especially how machine learning may impact on our daily life, arises as my new interest.
Specifically, I focus on proposing ensemble learning, outlier detection, and clustering algorithms. Additionally, I design and implement scalable machine learning systems and libraries for accessibility and efficiency. Last but not least, I am excited about apply learning algorithms to to real-world problems (such as healthcare and finance), i.e., building applications and understanding their implications.
To sum up, my interests lie on the applied side of the learning algorithms. I especially care why, when, and how to use learning models to change our (both yours and mine) daily life. Although algorithms are beautiful and elegant, they could be prettier while being tailored to solve real-world problems.
If you would like to meet for a coffee (it is on me), just drop me a line. I know several excellent coffee shops in Pittsburgh that you would not want to miss :)
Ph.D. in Information System & Management (Primary); Joint Ph.D. in Machine Learning & Public Policy (Expected), 2019-2024
Carnegie Mellon University
M.S. in Applied Computing, 2016
University of Toronto
B.S. in Computer Engineering, 2015
University of Cincinnati
High School Diploma, 2010
Shanxi Experimental Secondary School (山西省实验中学)