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Christopher (Lee) A.

AI Evaluation Specialist

Los Angeles, United States

Experience

Jan 2022 - Present
4 years

AI Evaluation Specialist

Freelance Consultant

  • Evaluate AI model outputs for accuracy, reasoning depth, and alignment across mathematical, technical, and general knowledge tasks.
  • Develop and refine prompts to optimize performance in generative AI systems.
  • Conduct consistency checks and logical error detection in complex reasoning responses.
  • Collaborate with interdisciplinary teams to enhance model interpretability and bias mitigation.
Jan 2020 - Dec 2022
3 years

Research Scientist – Computational Mathematics & AI

Texas Advanced Computing Center

  • Designed mathematical frameworks for AI interpretability and robust model assessment.
  • Built optimization algorithms integrating machine learning for predictive analytics.
  • Published 3 peer-reviewed papers on applied statistics and AI model validation.
Jan 2017 - Dec 2020
4 years

Graduate Research Assistant – Machine Learning & Quantitative Systems

University of Texas at Austin

  • Developed mathematical models for probabilistic reasoning and adaptive decision-making in neural systems.
  • Collaborated with computer scientists to benchmark AI reasoning models using mathematical logic.
  • Presented research findings at NeurIPS (2020) and SIAM Conference on Applied Mathematics (2019).
Jan 2016 - Dec 2017
2 years
United States

Data Analyst Intern

IBM Research Lab

  • Applied statistical models and clustering algorithms to optimize AI-driven recommendations.
  • Built mathematical simulations to enhance predictive accuracy in user behavior models.

Summary

Analytical and detail-driven mathematician with a deep understanding of AI systems, data reasoning, and language model evaluation.

Highly skilled in quantitative analysis, problem solving, and prompt engineering, with extensive experience in mathematical modeling, statistical reasoning, and logical validation of AI-generated content.

Combines mathematical rigor with linguistic precision to evaluate, refine, and improve AI model outputs across scientific, technical, and creative domains.

Languages

English
Native
Spanish
Advanced

Education

Oct 2017 - Jun 2021

University of Texas at Austin

Ph.D. · Applied Mathematics · United States

Oct 2015 - Jun 2017

Stanford University

Master of Science · Data Science & Mathematical Modeling · United States

Oct 2011 - Jun 2015

Massachusetts Institute of Technology

Bachelor of Science, Minor: Computer Science · Mathematics · United States

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