James (Bryce) Yang

Honors CS & Stats Student @ NCSU

About Me Work Experience Research Blog Projects

About Me

Welcome to my website!

I'm a junior majoring in computer science and minoring in statistics at NC State University (go pack!), and I'm deeply passionate about applied machine learning research, most recently in medicine and pharmacology. When I'm not doing research, I invest my time in rock climbing via competing and coaching the NCSU Competitive Rock Climbing Team. I have competed in both the North American Cup Series for Bouldering and Sport & Bouldering Combined Nationals.

Fake Climbing Photo

Education

University of North Carolina at Asheville

Year: 2023-2024

Degree: Computer Science B.S.

GPA: 3.98

Extracurriculars:

  • Undergraduate Research w/ Dr. Evelyn Chiang
  • VP of Diversity, Equity, and Inclusion in the Inter-Greek Council
  • President and Founder of Climbing Club
  • Sigma Nu Scholarship Chair

North Carolina State University

Year: 2023-2027

Degree: Computer Science B.S.

GPA: 4.0

Courses: Machine Learning, Linear Algebra, Data Structures, Algorithms, Software Development Fundamentals, Calculus I-III, Calculus-Based Statistics, Discrete Mathematics, Object Oriented Programming, Computing Environments

Extracurriculars:

  • Pack Climbing - Treasurer
  • Pack Climbing - Competitive Team Head Coach

Skills

Programming Languages

Data Analytics

IDEs and Tools

Work Experience

RAPID Research Assistant

UNC Chapel Hill - Carolina Health Informatics Program

June - July 2025

  • A 7-week full-time paid research program focused on Data Science, Machine Learning, Artificial Intelligence, and Bioinformatics, gaining proficiency in R and Python.
  • Developed advanced skills in statistical analysis and modeling techniques, including ANOVA, Linear Regression, and Random Forest modeling, specifically tailored to biomedical data sets.
  • Conducted independent research projects utilizing data-driven approaches to address issues in bioinformatics, culminating in professional presentations and the creation of comprehensive GitHub repositories.

Master Data Intern

ABB

January - May 2025

  • Collaborating with Global Product Managers to improve the quality of product master data while using analytical skills to identify and address discrepancies and inaccuracies.
  • Evaluating product data quality, focusing on product lines, and establish connections between product lines, PGs, and product codes to ensure organizational consistency
  • Documenting processes, issues, and resolutions, and generating reports using PowerBI to support decision-making.

Undergraduate Research Assistant

UNC Asheville

September 2023 - May 2024

  • Collaborated with a small team of determined individuals to aid AAPI students in their college experience.
  • Implemented Excel to gather and analyze data, performing exploratory data analysis to uncover patterns and insights into student experiences on campus.
  • Displayed and presented research findings at the Undergraduate Research Symposium, communicating data-driven insights through visual aids and a detailed explanation of the analysis process.

Research

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Oral Presentation Social & Behavioral Research Psychology

Marketing Diversity: Photographing Students of Color on PWI Campuses.

Conducted a visual analysis of university marketing materials to examine how students of color are portrayed in recruitment content. Completed CITI Social & Behavioral Research certification to uphold ethical standards in handling sensitive information.

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Poster Presentation Social & Behavioral Research Psychology

“I Really Shouldn't Complain”: AAPI College Students' Experience of Microaggressions.

Investigated how Asian American and Pacific Islander (AAPI) students perceive and respond to microaggressions in higher education settings, using qualitative interview data.

Blog

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Month Day, Year | By this clown

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Month Day, Year | By this clown

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Month Day, Year | By this clown

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Projects

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FluxBiz Insights

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Description: Developed a program that generates predictive insights for retail businesses from traffic data with a team of 3 developers. Cleaned and organized 5 datasets with over 600,000 total elements with Excel and Python utilizing Pandas and NumPy, fit a linear regression model with Scikit-learn, and produced data visualizations in Tableau. Presented to a panel of data scientists at the CDC Datathon, placing 5th out of over 200 competitors.

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Sage AI

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Description: Developed a public web application that utilizes computer vision to perform real-time pose estimation for the purpose of improving study and work habits. Tracks eye and head positions to provide users with insight on their level of focus. Additional functionality allows users to import prerecorded videos for posture detection.

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