Simon Shaolei Du is a PhD student in the Machine Learning Department at the School of Computer Science, at Carnegie Mellon University. He is advised by Professor Aarti Singh and Professor Barnabás Póczos. His research interests broadly include topics in theoretical machine learning and statistics, such as deep learning, matrix factorization, convex/non-convex optimization, transfer learning, reinforcement learning, non-parametric statistics and robust statistics. Currently, he is developing methods for precision agriculture. In 2011, he graduated from The Experimental High School attached to Beijing Normal University. In 2015, he obtained his BS in Engineering Math and Statistics, and BS in Electrical Engineering and Computer Science from University of California, Berkeley. He has also worked in research labs at Microsoft and Facebook.
- Foundations of Data Science, Fall 2018. Visiting Graduate Student.