Hubert Luo

AI / Investment Banking

  • Professional Background: AI & Data Science / M&A, Shareholder Advisory, and Equity Capital Markets
  • Research Interests: Applied Statistics in Finance, Sports, and Social Sciences

Publications

Understanding Team Attributes through Fan Reactions: A Novel Framework for Engagement and Sentiment in NHL Communities Using Large-Scale Reddit Data

Luo, H. and Glazer, A.K. Under Review.

Improving NHL draft outcome predictions using scouting reports

Luo, H. Journal of Quantitative Analysis in Sports. 2024. [pdf] [preprint] [web app]

Look who’s talking: gender differences in academic job talks

Glazer, A.K., Luo, H., et al. ScienceOpen Research. 2023. DOI: 10.14293/S2199-1006.1.SOR.2023.0003.v1 [pdf]

Experience

Lazard

  • Vice President, Data Science (January 2025 - Current)
  • Associate, Data Science (January 2022 - January 2025)
  • Data Scientist (July 2020 - January 2022)
  • Data Science Intern (May 2019 - August 2019)

WellDone International

  • Data Science Intern (June 2018-October 2018)

Education

University of Texas at Austin (May 2025)

  • M.S. Computer Science. GPA: 3.87/4.0. Part-time studies while working full-time.
  • Selected Coursework: Deep Learning, Natural Language Processing (NLP), Machine Learning

University of California, Berkeley (May 2020)

  • B.A. Statistics, B.A. Applied Math. GPA: 3.92/4.0. Highest Honours.
  • Selected Coursework: Time Series, Probability, Sampling, Linear/Abstract Algebra, Real/Complex/Numerical Analysis
  • Secretary-General, Berkeley Model United Nations, 68th Session

Royal Conservatory of Music (November 2014)

  • Associate Diploma (ARCT), Piano Performance

Research

Stark Research Group, UC Berkeley Statistics Department (September 2018 - November 2020)

I worked on the Look Who’s Talking project to examine differences in the number, nature, and duration of interruptions in academic job talks based on the presenter’s gender.

Family and Culture Lab, UC Berkeley Psychology Department (January 2017 - May 2018)

I worked on the Kids and Family Project, a longitudinal study that examined the risk and protective factors for mental health adjustment in Chinese-American immigrant children.

Teaching

TA (Undergraduate Student Instructor): Data Science (Spring 2020, Fall 2019)

Group Tutor: Data Science (Spring 2019, Fall 2018), Probability Theory (Spring 2018), Linear Algebra (Fall 2017)