Limin Chen

Limin Chen is a Machine Learning Engineer at Protagolabs, focusing on NLP research since August 2020, and previously held the title of Applied Scientist in the same field. Prior to Protagolabs, Limin Chen served as a Machine Learning Researcher at Georgetown University from August 2018 to August 2020, specializing in Reinforcement Learning for information retrieval tasks. During this period, Limin Chen contributed to the paper "Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval," presented at SIGIR 2020. Limin Chen holds a Master's degree in Analytics with a concentration in Data Science from Georgetown University and a Bachelor's degree in Statistics from Shanghai University of Finance and Economics. Additionally, Limin Chen served as a Teaching Assistant for the course ANLY 590-01 Neural Nets and Deep Learning at Georgetown University.