Profile Details

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USD 80 /hr

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Hire Dr. Chris H.

United Kingdom

USD 80 /hr

ML/AI research engineer with 7+ years of experience in machine learning, data science, and generative modelling

Profile Summary

Machine learning researcher working at the intersection of generative modeling, optimization, and probabilistic modeling. I build models and systems that operate under structural constraints, uncertainty, and limited data — drawing on applied mathematics, statistics, and numerical methods. My work spans research and applied projects across modeling, inference, and decision-making systems. Open to selective consulting and advisory work.

Subject Matter Expertise

• ☆ Python
• ☆ Matlab
• ☆ Excel
• ☆ Tensorflow
• ☆ STATA
• ☆ LaTex
• ☆ R
• ☆ Scikit-learn
• ☆ Markup Languages
• ☆ User Research

Services

• Research
• Consulting
• Data & AI

Research Scientific and Technical Research

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Cleaning

Work Experience

Research Engineer

Monumo

October 2024 - Present

Education

(Dept. of Engineering Science; Oriel College)

University of Oxford

- Present

Engineering Science

University of Oxford

September 2021 - September 2024

Management Science & Engineering

Stanford University

June 2020 - June 2021

Certifications

• n/a

  n/a

  January 2026 - January 2026

Publications

JOURNAL ARTICLE

Christopher Hull, Jacques Wust, M.J. Booysen, M.D. McCulloch (2024). Techno-economic optimization and assessment of solar-battery charging station under grid constraints with varying levels of fleet EV penetration . Applied Energy.

Christopher Hull, J.H. Giliomee, Katherine A. Collett, Malcolm McCulloch, M.J. Booysen (2024). High-fidelity tracking data gathered on minibus taxis in Stellenbosch, South Africa . Data in Brief.

Christoper Hull, Johan H. Giliomee, Martine Visser, M.J. (Thinus) Booysen (2024). Survey data on the socio-economic characteristics and electric vehicle perceptions of paratransit owners and drivers in and around the Cape Town Metropole of South Africa . Data in Brief.

Christopher Hull, Katherine A. Collett, Malcolm D. McCulloch (2024). Developing a representative driving cycle for paratransit that reflects measured data transients: Case study in Stellenbosch, South Africa . Transportation Research Part A: Policy and Practice.

Christopher Hull, J.H. Giliomee, Martine Visser, M.J. Booysen (2024). Electric vehicle adoption intention among paratransit owners and drivers in South Africa . Transport Policy.

Christopher Hull, J.H. Giliomee, Katherine A. Collett, Malcolm D. McCulloch, M.J. Booysen (2023). High fidelity estimates of paratransit energy consumption from per-second GPS tracking data . Transportation Research Part D: Transport and Environment.