Hongyuan Mei

Hongyuan Mei is currently a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC). His research interests are rooted in designing machine learning models and algorithms to solve challenging real-world problems. His current focus is modelling sequential data, which is essential in time-stamped event prediction and natural language understanding.

Hongyuan Mei obtained his PhD from the Department of Computer Science at Johns Hopkins University (JHU), where he was advised by Jason Eisner. His PhD research was supported by Bloomberg Data Science PhD Fellowship, and covered by Fortune Magazine and Tech At Bloomberg. He was a member of the Center for Language and Speech Processing (CLSP), and the 2020 recipient for the Jelinek Fellowship. At JHU, he collaborated with Yanxun Xu from Applied Math & Statistics as well as Benjamin Van Durme and Kevin Duh from Computer Science.

Befor joining JHU and CLSP, Hongyuan Mei obtained two MS degrees from The University of Chicago, and did research in natural language understanding and generation with Mohit Bansal and Matthew R. Walter at Toyota Technological Institute at Chicago. Prior to that, he obtained a BE in Electrical Engineering from Huazhong University of Science and Technology.

Education

• Doctor of Philosophy (Ph.D.) Johns Hopkins University (2016 — 2021)
• Master of Science (M.S.) University of Chicago (2012 — 2013)
• Bachelor of Engineering (B.E.) Huazhong University of Science and Technology (2008 — 2012)
• Master’s Degree The University of Chicago (2015)

Companies

• Research Assistant Professor Toyota Technological Institute at Chicago (TTIC) (2021)
• Research Intern Microsoft (2016 — 2016)
• Research Intern Toyota Technological Institute at Chicago (TTIC) (2015 — 2016)
• Quantitative Analyst International Trading Group (2013 — 2014)
• Research Assistant University of Chicago Booth School of Business (2013 — 2013)
• Quantitative Analyst Intern Piper Jaffray (2013 — 2013)
• Research Assistant Huazhong University of Science and Technology (2009 — 2011)

Skills

• Option Pricing Models
• Java
• Microsoft Excel

Other

Python, Artificial Neural Networks, Natural Language Understanding, Machine Learning, VBA, Bloomberg, Mathematical Modeling, Monte Carlo Simulation, C++, Matlab