Open to opportunities

Kaleb Huang

@kalebhuang

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I build statistical models for sports, markets, and clinical trial decisions.

United States

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What I'm looking for

I'm looking to apply statistical modeling, programming, and data analysis to challenging problems in sports, markets, research, or clinical trials while continuing to learn from rigorous, data-driven teams.

I'm building statistical models across sports, betting markets, and clinical trials. At Transcenta Holding, I'm deriving sample-size and power-calculation formulas for two-arm clinical trials in Python and R while applying ICH E9 principles and CDISC data standards.

As a research assistant at Falk College, I build 25-season regression models on crowd pressure and free-throw accuracy using a 100,000+ row dataset. My projects include Markov-chain simulations, sportsbook calibration analysis across 22,000+ odds, and tennis trading models that backtest probabilities against market lines.

Experience

Work history, roles, and key accomplishments

Current

Biostatistics Intern

Current

Transcenta Holding

Aug 2026 - Present (0 months)

Deriving sample size and power calculation formulas for two-arm clinical trials with continuous endpoints, implementing calculations in Python and R. Applying ICH E9 statistical principles and CDISC data standards to support clinical trial design and biostatistical analysis.

Python R Clinical Trial Design Biostatistics CDISC

Education

Degrees, certifications, and relevant coursework

University of Chicago

Bachelor of Arts, Statistics and Data Science

Grade: 3.97/4.0

Activities and societies: Dean's List; Relevant Coursework: Analysis in R, Applied Regression Analysis, Statistical Models & Methods, Data Science I & II, Linear Algebra, Calc III, Intro to Proofs

Pursuing a Bachelor of Arts in Statistics and Data Science with a 3.97 GPA and Dean's List recognition.