I am a first year Ph.D. student in Machine Learning Department in Carnegie Mellon University. My research interests center around applying machine learning and optimization techniques to real-life challenges and seeing how these methods can be improved. I have research experiences in pattern recognition, dynamic control systems, and approximation algorithms.
I have a solid background in math, control, and artificial intelligence. I maintained the 1st overall GPA (93.4 on a 100 scale) among 170 students in department of Automation by the time of graduate school application. In addition, I received a 94% percentile ranking in the GRE Math Subject test whose test-taker body is primarily math-major students. I was one of the 11 students who fulfilled a dual major in Mathematics in a class of 3000+ students.
Active learning, robot control and navigation, astrophysics, language technology, and etc.