Biography

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 impacts 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, security, 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, they could be prettier if 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 :)