📍 Los Angeles, CA · Open to Opportunities

Samuel
Onyambu.

Statistician · Researcher · PhD UCLA
Solving complex problems at the intersection of hyperparameter optimization, experimental design, and machine learning.

⌥ GitHub 🎓 Teaching ◈ stackoverflow/onyambu
3.87
UCLA GPA
2+
Publications
3
Invited Talks
15+
Languages & Tools
✦ Python ✦ R ✦ C++ ✦ Hyperparameter Optimization ✦ Design of Experiments ✦ Machine Learning ✦ Bayesian Optimization ✦ Monte Carlo Methods ✦ TensorFlow ✦ SQL ✦ Azure Databricks ✦ Reinforcement Learning ✦ Python ✦ R ✦ C++ ✦ Hyperparameter Optimization ✦ Design of Experiments ✦ Machine Learning ✦ Bayesian Optimization ✦ Monte Carlo Methods ✦ TensorFlow ✦ SQL ✦ Azure Databricks ✦ Reinforcement Learning
Where I've Been
Experience
Jan 2025 – Present
Adjunct Assistant Professor
University of California, Los Angeles
Teaching Statistics & Research at one of the world's top public universities.
Sept 2023 – June 2024
Graduate Student Researcher — Travel Demand Models
University of California, Los Angeles
Literature synthesis on travel demand choice models. Built models to explore the role of race in travel demand choices.
Jan 2019 – June 2023
Teaching Fellow
University of California, Los Angeles
Delivered lectures, designed lesson plans, wrote and graded assignments and exams across Statistics coursework.
Dec 2016 – July 2017
Data Analyst / Statistician
California State University, Fullerton
Lead analyst for High Impact Practices (HIPS) data in a multi-year campus-wide project using R, SPSS, and Excel.
Research Output
Publications
2025
Tuning Differential Evolution Algorithm for Constructing Uniform Projection Designs
Samuel Onyambu, Hongquan Xu · Journal of Statistical Planning and Inference
→ View on ScienceDirect
2022
Quantifying the Effect of Probability Model Misspecification in Seismic Collapse Risk Assessment
Laxman Dahal, Henry Burton, Samuel Onyambu · Structural Safety
→ View on ScienceDirect
On Stage
Invited Talks
Aug 20–23, 2025
Generation of Uniform Projection Designs via Differential Evolution
EcoSta 2025 · Waseda University, Tokyo, Japan
Aug 4–7, 2025
Kriging-based Adaptive Region Global Optimization Algorithm
11th Annual Loma Linda Workshop · Loma Linda University, CA
May 8–11, 2023
A Trust Region Novel Optimization Algorithm
ICODOE 2022 · University of Memphis, TN
Toolkit
Skills & Technologies
Programming Languages
Python R C++ C Fortran Perl PHP SQL
Data & ML Libraries
NumPy Pandas TensorFlow Tidyverse
Platforms & Tools
Azure Databricks .NET Microsoft SQL Server RStudio Xcode
Research Areas
Hyperparameter Optimization Design of Experiments Bayesian Optimization Monte Carlo Methods Machine Learning Reinforcement Learning Image Classification
Academic Background
Education
PhD · Statistics
UC Los Angeles
Sept 2018 – Nov 2024
GPA 3.87 · Hyperparameter Tuning, Design Selection & Optimization
MS · Statistics
Cal State Fullerton
Sept 2016 – May 2018
GPA 3.97 · Bayesian Optimization, Numerical Optimization
BS · Statistics & Programming
Kenyatta University, Kenya
May 2011 – May 2015
First Class Honours
CPA · Certified Public Accountant
KASNEB, Kenya
Dec 2011 – Dec 2014
Pass: CPA-K
Let's Connect

Open to research collaborations, teaching, and new opportunities.

⌥ github/oonyambu ◈ stackoverflow/onyambu ✉ oonyambu@gmail.com 📞 657-200-0543