Meet our incoming PhD students: Autumn 2023
Management Science and Engineering is excited to welcome 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, diverse, and talented 2023 PhD cohort. Their research touches on MS&E's four research themes: AI & data science, computational social science, the future of organizing, and impacting policy decisions (read more about the themes in our Newsletter). The students bring expertise and an interdisciplinary spirit from a variety of fields, such as financial engineering, operations research, responsible engineering, computer science, decision analysis, and more.
Get to know some of our newest PhD students below:
Kiana Asgari
Hometown: Iran
Alma Mater: Sharif University of Technology
Kiana hopes to encourage women in computation to pursue their dreams in academia.
Andrew Couch
Hometown: Huntsville, Alabama
Almae matres: University of Alabama in Huntsville; Thomas Edison State University
Andrew is motivated by using research to advance society and help everyday individuals.
I-han Lai
Hometown: Shanghai, China
Alma mater: Tsinghua University
I-han hopes to develop novel methods that use chaotic data to solve real-world challenges and improve social welfare.
Yingxi Li
Hometown: Beijing, China
Alma mater: Cornell University
Yingxi's interest lies in learning faster solvers for large-scaled combinatorial optimization problems and constrained optimization.
Hao Liu
Hometown: Qingdao, China
Alma mater: Brown University
Hao hopes to utilize probabilistic and statistical techniques to solve challenges in machine learning, control theory, simulations, and finance.
Alec Madayan
Hometown: Paris, France
Almae matres: Université Paris Dauphine; University of California, Berkeley
Alec wants to develop statistical models to improve the credit risk assessment of companies and consumers.
Anushka Murthy
Hometown: Okemos, Michigan
Alma mater: Columbia University
Anushka hopes to use tools from applied probability, algorithms, and data science to reduce bias and make resource allocation more efficient in online marketplaces.
Orrie B. Page
Hometown: Ann Arbor, Michigan
Alma mater: Massachusetts Institute of Technology
Orrie looks forward to continuing to build upon his skills as a scientist while being open to various research paths.
Jiyuan Tan
Hometown: Guangzhou, China
Alma mater: Fudan University
Jiyuan's research focuses on developing both theoretically sound and efficient machine learning algorithms to address real-world challenges.
Rose Wang
Hometown: Hangzhou, China
Alma mater: London School of Economics and Politics
Rose aims to leverage her interdisciplinary skill set to innovate in the fields of asset pricing, risk management, and the study of human behavior in market dynamics.
Mingwei Yang
Hometown: Dongguan, China
Alma mater: Peking University
Mingwei hopes to enhance our understanding of numerous mathematically fundamental problems via theoretical tools in computer science and, ultimately, contribute to a higher efficiency in society.
