Yan Pei
About Yan Pei
Yan Pei is an Applied Research Scientist at Flexport in Bellevue, Washington, with a Ph.D. in Computer Science from The University of Texas at Austin and a B.S. in Electrical Engineering from Shanghai Jiao Tong University.
Current Role at Flexport
Yan Pei is currently an Applied Research Scientist at Flexport, based in Bellevue, Washington, United States. At Flexport, Yan has developed a novel algorithm for optimizing supply chain logistics, showcasing expertise in applying advanced machine-learning techniques to solve real-world problems.
Previous Experience at Intel Corporation
Yan Pei worked as a Graduate Research Intern at Intel Corporation for a period of 7 months in 2020. During this tenure in Santa Clara, California, Yan gained practical experience and contributed to various research projects, demonstrating a strong foundation in applied research and data analysis.
Academic Background and Tenure at The University of Texas at Austin
Yan Pei pursued a Ph.D. in Computer Science from The University of Texas at Austin, studying from 2015 to 2021. During this period, Yan held positions as Graduate Research Assistant and Graduate Teaching Assistant. Yan's research focused on machine learning algorithms, with significant findings presented at the International Conference on Machine Learning (ICML) in 2019. Responsibilities also included mentoring undergraduate students and collaborating with industry partners on research projects.
Educational Background at Shanghai Jiao Tong University
Prior to pursuing a Ph.D., Yan Pei studied Electrical Engineering at Shanghai Jiao Tong University from 2011 to 2015. Yan earned a Bachelor of Science (B.S.) degree, laying the groundwork for future research in computer science and machine learning.
Research Publications and Awards
Yan Pei has published research on machine learning algorithms and presented findings at prestigious conferences. Notably, Yan presented at the International Conference on Machine Learning (ICML) in 2019 and received the Best Paper Award at the IEEE International Conference on Data Mining (ICDM) in 2020. Yan's contributions to open-source projects related to data science and machine learning further underscore a commitment to advancing the field.