Qilian Yu (S’16) received the Ph.D. degree in electrical engineering from University of Califorina, Davis, USA, in 2018, and the B.S. degree in electrical engineering from Zhejiang University, Hangzhou, China, in 2014. He is currently a Senior AI scientist at Eletronic Arts. His current research focuses on devleoping recommendation system and machine learning techiqnues over the graph database.
Educational Details
Ph.D. in Electrical Engineering, College of Engineering, University of California - Davis. (GPA - 3.9/4.0)
Courses: Computer Vision, Analysis of Algorithms, Statistics Machine Learning, Deep Learning, Reinforcement Learning, Artificial Intelligence, Scalable Machine Learning, Game Theory, Theory of Computation, Fuzzy System & Set Theory, Data Structures & Prog, Software & Obj-Orient Prog, System Theory, Linear Network, Optimization, Distribution Theory, Convex Optimization, Information Theory, Stochastic System, Graph Theory, Data Science of Communication Network, Data Mining and Analysis, Theory of Inference.
Online Certificates: Big Data Analysis with Scala and Spark (Cloudera), Machine Learning (Cloudera), Introduction to Hadoop and MapReduce (Udacity), Data Analysis (Udacity), Data Analysis and R (Udacity), A/B Testing (Udacity), Swift Programming Syntax (Udacity), Relational Databases (Udacity), Machine Learning (Udacity), Reinforcement Learning (Udacity), JMP Software: Data Exploration (Seagate), SQL Essential Training (LinkedIn Learning).
Bachelor of Engineering (B.E) in Electrical Engineering, College of Information Science & Electronic Engineering, Zhejiang University, China, GPA - 3.6/4.0)
Professional Experience
1. Senior AI Scientist at Electronic Arts, USA. (2021 - Current)
2. AI Scientist at Electronic Arts, USA. (2019 - 2021)
3. Intern Data Scientist at Seagate Technology, USA. (Summer 2018)
4. Intern Data Scientist at TalkingData (Beijing Tendcloud Tianxia Technology Co., Ltd), China. (Summer 2017)
5. Data Analyst for "Data Mapping of 2016 U.S. Presidential Election Twitter Activity" project. (2017)
6. Session Chair for Emerging Technologies, Architectures and Services, WCNC 2017 (March 2017)
7. Research Assistant at University of California, Davis, USA (2016-now)
8. Teaching Assistant at University of California, Davis, USA (2017)
9. Research Assistant at Texas A&M University, USA (2014-2016)
10. Research Assistant at Zhejiang University, China (2013-2014)
11. Hardware Engineer Intern at Fujian Star-Net Communication Company, China (2012)