Christopher Tran
About Christopher Tran
Christopher Tran is a mathematician and data scientist currently employed at the U.S. Securities and Exchange Commission since 2023. He holds a PhD in Computer Science from the University of Illinois at Chicago and has extensive experience in research and teaching across various institutions.
Work at U.S. Securities and Exchange Commission
Christopher Tran has been employed as a Mathematician (Data Scientist) at the U.S. Securities and Exchange Commission since 2023. In this role, he applies mathematical and statistical methods to analyze data relevant to financial markets and regulatory compliance. His work contributes to the SEC's mission of protecting investors and maintaining fair, orderly, and efficient markets.
Education and Expertise
Christopher Tran earned a Doctor of Philosophy (PhD) in Computer Science from the University of Illinois at Chicago, where he studied from 2016 to 2022. Prior to that, he completed a Bachelor's Degree in Mathematics and Computer Science at Delaware State University from 2012 to 2016. His educational background provides a strong foundation in data analysis, statistical modeling, and computational techniques.
Research Experience
Tran has extensive research experience, having worked as a Research Assistant at the University of Illinois at Chicago from 2018 to 2022. He also served as a Research Intern at SIFT (Smart Information Flow Technologies) in 2019 and as a Researcher at SIFT from 2022 to 2023. His research includes modeling factors contributing to gender bias and developing models to analyze heterogeneous treatment effects. He has presented his findings at various conferences and workshops.
Teaching and Tutoring Roles
Christopher Tran has held several teaching and tutoring positions. He worked as a Teaching Assistant at the University of Illinois at Chicago from 2016 to 2018, where he supported undergraduate students in their coursework. Additionally, he served as a Mathematics Tutor at Delaware State University from 2014 to 2016, helping students strengthen their understanding of mathematical concepts.
Achievements and Awards
Tran received a research award for exceptional research promise during his academic career. His work has led to significant contributions, including research that resulted in an Adobe Research grant. He has explored novel approaches for document recommendations and conducted impactful research in various areas of data science and mathematics.