Open to opportunities

Timothy Muuo

@timothymuuo

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I’m a Ph.D. statistician and AI research specialist blending probabilistic rigor with model-ready datasets.

Kenya

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What I'm looking for

I’m looking for a fully remote role where I can bridge theoretical statistics with practical AI—building rigorous datasets, evaluating statistical reasoning for models, and contributing to benchmarking and research-level problem design.

I’m an accomplished Statistician and Research Specialist with a Ph.D. in Statistics and over five years of experience in advanced quantitative modeling, probabilistic reasoning, and data analysis. I design and evaluate complex statistical problems, and I curate structured datasets that support AI training and high-performing model reasoning.

In remote AI research consulting, I benchmark LLM performance by creating rigorous quantitative problem sets and translating multilingual academic materials into standardized problem-solution pairs. I’ve also led Bayesian and multivariate research work at the University of Florida, publishing on regression diagnostics, hypothesis testing, and uncertainty modeling—while building reproducible workflows with R, Python, and LaTeX and mentoring undergraduate researchers.

Experience

Work history, roles, and key accomplishments

Current

AI Research Data Consultant

Current

Freelance

Jan 2022 - Present (4 years 6 months)

Designed and evaluated high-complexity quantitative problems for LLM performance benchmarking and curated structured CSV/JSON datasets for AI statistical reasoning training. Collaborated with linguists and researchers to translate multilingual academic materials into standardized problem-solution pairs while ensuring conceptual rigor through cross-referencing.

CSV JSON AI Statistical Reasoning Training

Research Statistician

University of Florida

Jan 2018 - Jan 2022 (4 years)

Conducted multivariate analysis and Bayesian inference research projects for interdisciplinary studies and published peer-reviewed papers on regression diagnostics, hypothesis testing, and uncertainty modeling. Mentored undergraduate students and implemented reproducible data documentation workflows using R, Python, and LaTeX.

Multivariate Testing Hypothesis Testing Uncertainty Modeling Mentorship R Python LaTeX

Mathematical Problem Curator

International Statistical Olympiad (ISO) Preparation Team

Jan 2016 - Jan 2018 (2 years)

Developed and reviewed Olympiad-level statistics problems covering probability theory, combinatorics, and inferential methods. Evaluated participant submissions for logical soundness and computational accuracy and helped maintain an indexed repository of competition-grade problems and reasoning notes.

Probability Olympiad Problem Development