Meet our incoming PhD students: Autumn 2024
Management Science and Engineering welcomes all of our incoming students as we begin the academic year!
As they arrived on campus, we had the pleasure of meeting some of our vibrant and talented 2024 PhD cohort. The students bring expertise and an interdisciplinary spirit from a variety of fields, such as financial engineering, operations research, mathematics, computer science, and more.
Get to know some of our newest PhD students below:

Andrew Caosun
Hometown: Pittsburgh and New York City
Alma Mater: Carnegie Mellon University
Andrew aims to develop models that inform the deployment and regulation of AI systems within financial institutions.

Vinh Khang Do
Hometown: Saigon, Vietnam
Alma Maters: West Point, Yale University
Vinh Khang's research explores and quantifies the impact of large language models on online engagement.

Johannes Fuest
Hometown: Munic, Cologne, Oxford, and Heidelberg
Alma Maters: University of Oxford, Technical University of Munich
Johannes aims to advance the usage of causal inference in quantitative finance contexts.

Cuehyon Kim
Hometown: Seoul, Korea
Alma Mater: Yonsei University
Cuehyon's research explores the complex interactions between emerging technologies, firm strategies, and policy interventions, and ultimately help guide technology ventures toward sustainable and impactful growth in various global contexts.

Elaine Liu
Hometown: China and Canada
Alma Mater: Massachusetts Institute of Technology
Elaine studies the mathematical foundations of tangible networked systems.

Joshua Lyman
Hometown: Cedar City, Utah
Alma Mater: Utah State University
Joshua develops research questions with the goal to help organizations and individuals to continue to work towards unity, peace, and prosperity.

Jason Meng
Hometown: Hohhot, China
Alma Mater: Tsinghua University
Jason's research is centered around data-driven decision-making within complex societal systems.

Lezhi Tan (Carrie)
Hometown: Beijing, China
Alma Mater: Peking University
Lezhi develops novel algorithms and applies them to complex problems, especially high-dimensional and non-convex ones.

Chenghan Xie
Hometown: Shanghai, China
Alma Mater: Fudan University
Chenghan's goal is to optimize every aspect of AI to reduce the massive energy consumption of AI systems.
