Li Yuan
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  • Graduate Research Assistant
  • Graduate Research Assistant
  • Graduate Research Assistant
  • Graduate Research Assistant
  • Graduate Research Assistant
  • Graduate Intern
  • Research Fellow
  • Graduate Research Assistant
  • Graduate Research Assistant
  • Teaching Experience
    • Graduate Teaching Assistant
    • Graduate Teaching Assistant
  • Industry and Consulting Experience
    • Project Consultant
    • Data Scientist Intern
  • Additional Training and Professional Development
    • Student Pilot
    • Graduate Student
    • Graduate Student
    • Graduate Student
    • Graduate Student

Research and Academic Experience

Graduate Research Assistant

Department of Statistics and Data Science, Southern Methodist University
September 2024 – Present
Dallas, Texas, United States

I conduct research on Bayesian variational inference methods, nonlinear time-series modeling, and large language modeling for sentiment analysis. My work focuses on developing flexible statistical and computational methods for modeling complex data, evaluating predictive performance, and improving uncertainty quantification.

Graduate Research Assistant

UT Southwestern Medical Center
October 2024 – March 2025
Dallas, Texas, United States · Remote

I designed a statistical model using logistic regression to predict biliary atresia based on MMP7 and other variables. I conducted model evaluation using cross-validation methods to assess accuracy and reliability, and developed an R Shiny application for healthcare professionals to support real-time disease prediction.

Graduate Research Assistant

Department of Statistics and Data Science, Southern Methodist University
January 2024 – December 2024
Dallas, Texas, United States

I worked on statistical analysis of the impact of Texas Senate Bill 8 on the health of pregnant women in Texas. The project involved causal inference methods, including exact matching and difference-in-differences approaches, to evaluate policy-related health outcomes.

Graduate Research Assistant

Department of Statistics and Data Science, Southern Methodist University
August 2023 – January 2024
Dallas, Texas, United States

I worked on topological data analysis for lung and brain cancer research. This experience strengthened my ability to apply statistical and computational methods to biomedical research questions and interdisciplinary collaborations.

Graduate Research Assistant

Data Science Institute, Vanderbilt University
August 2021 – December 2021
Nashville, Tennessee, United States

I worked on research involving natural language processing and Python programming. This experience strengthened my foundation in computational data science, text analysis, and applied machine learning.

Graduate Intern

Vanderbilt University School of Medicine
June 2021 – October 2021
Nashville, Tennessee, United States · Remote

I supported biomedical data analysis projects using R programming and statistical methods. My work involved data cleaning, exploratory analysis, and statistical modeling for healthcare-related research questions.

Research Fellow

University of Chicago
August 2021 – September 2021
Nashville, Tennessee, United States · Remote

I participated in research involving R programming, statistical analysis, and applied data science. This experience helped me strengthen my ability to work on research problems across institutional collaborations.

Graduate Research Assistant

Vanderbilt University Law School
March 2021 – September 2021
Nashville, Tennessee, United States · Hybrid

I worked on statistical data analysis using R programming. This role involved supporting legal and policy-related research through quantitative analysis and data interpretation.

Graduate Research Assistant

Vanderbilt University
September 2020 – September 2021
Nashville, Tennessee, United States · Hybrid

I supported research projects involving web development and Python programming. This experience helped me develop practical skills in computational research, programming, and data-oriented software development.

Teaching Experience

Graduate Teaching Assistant

STAT 2331: Introduction to Statistical Methods
Department of Statistics and Data Science, Southern Methodist University
August 2025 – December 2025
Dallas, Texas, United States

I served as a Graduate Teaching Assistant for STAT 2331, a non-calculus-based introduction to statistical methods. The course introduced students to statistical reasoning, descriptive statistics, probability concepts, simple linear regression, inference, and the use of statistics in decision-making.

My responsibilities included supporting students with course concepts, assisting with homework and statistical software questions, helping clarify course materials, and contributing to grading and instructional support.

Graduate Teaching Assistant

STAT 3300: Applied Statistics: Regression
Department of Statistics and Data Science, Southern Methodist University
August 2022 – May 2023
Dallas, Texas, United States

I served as a Graduate Teaching Assistant for STAT 3300, an applied statistics course focused on regression methods and statistical modeling. The course introduced students to simple and multiple linear regression, model interpretation, diagnostic checking, inference for regression coefficients, prediction, and applications of regression models to real data.

My responsibilities included supporting students with regression concepts, assisting with homework and R programming questions, helping students interpret regression output, and contributing to grading and instructional support.

Industry and Consulting Experience

Project Consultant

Revision Skincare
April 2025 – June 2025
Dallas, Texas, United States · Hybrid

I conducted comprehensive data analysis on skin hyperpigmentation treatment effectiveness for 11 subjects, helping evaluate treatment outcomes. I applied advanced statistical methods to assess facial skin whitening results, ensuring data-driven insights for product development. I also collaborated with cross-functional teams to optimize treatment protocols and contribute to innovative skincare solutions.

Data Scientist Intern

Amazon
June 2023 – September 2023
Boston, Massachusetts, United States

I worked as a Data Scientist Intern on the Amazon Alexa team. I built a time-series model for detecting abnormalities in user experience, applying statistical modeling and data science methods to real-world product data.

Additional Training and Professional Development

Student Pilot

Delta Qualiflight Aviation Academy
May 2024 – Present
Fort Worth, Texas, United States

I am training toward a private pilot license and have developed skills in aviation, navigation, air traffic control communication, and aviation decision-making. I successfully completed my first solo flight on April 9 at Delta Qualiflight Aviation Academy, marking an important milestone in my aviation training.

Graduate Student

Stanford Continuing Studies
June 2021 – March 2022
Remote

I completed coursework and training related to natural language processing and reinforcement learning.

Graduate Student

Duke University
May 2021 – June 2021
Remote

I completed academic training related to Bayesian statistics and R programming.

Graduate Student

Yale University
May 2020 – June 2020
Remote

I completed academic training related to Python programming and multivariate calculus.

Graduate Student

University of California, Berkeley
August 2019 – May 2020
Berkeley, California, United States

I completed graduate-level academic preparation and training in quantitative and computational subjects.

 
© 2026 Li Yuan (Leon) | PhD Candidate in Statistical Science, Southern Methodist University