SUSAN VALERIE THOMPSON
Leicester,LEC
Summary
Accomplished and seasoned Mathematics Specialist with a PhD in Applied Mathematics from the University of California, Berkeley (1999), and over two decades of progressive experience in mathematical research, academia, and data-driven innovation. Expert in designing complex mathematical prompts that challenge the reasoning abilities of advanced AI models. Adept in Algebraic Topology, Statistical Modeling, Computational Mathematics, and Prompt Engineering. Strong track record of interdisciplinary collaboration, academic mentorship, and innovation in the field of AI evaluation. Passionate about applying deep mathematical insight to improve large language model performance and foster the next generation of STEM talent.
Overview
26
26
years of professional experience
1
1
Certification
Work History
Prompt Engineering Consultant
Independent Research Collaborator
06.2022 - Current
- Crafted domain-specific mathematical problems to rigorously test the boundaries of AI models and LLMs.
- Applied deep mathematical theory to create multi-step reasoning prompts with high difficulty thresholds.
- Collaborated with machine learning researchers on projects involving algebraic modeling and AI prompt refinement.
- Conducted critical analysis of AI-generated mathematical solutions to assess accuracy and depth of reasoning.
Associate Professor of Mathematics
University College London (UCL)
09.2010 - 05.2022
- Taught and developed curricula for graduate and undergraduate programs in pure and applied mathematics.
- Supervised over 20 postgraduate theses in topology, logic, and mathematical modeling.
- Initiated AI-focused academic tracks incorporating problem-solving using large mathematical datasets.
- Co-led seminars on the application of mathematical reasoning in artificial intelligence systems.
Mathematical Researcher
University of Oxford
01.2003 - 07.2010
- Led pioneering research into the intersection of computational mathematics and symbolic logic.
- Participated in EU-funded interdisciplinary projects involving the integration of mathematics in machine learning.
- Published extensively in peer-reviewed journals on algebraic structures and inference systems.
- Engaged in cross-disciplinary workshops to bridge mathematics with computer science.
Data Analyst – Mathematical Application
Barclays Bank
07.1999 - 12.2002
- Developed predictive algorithms and performed risk assessments using statistical models.
- Employed MATLAB and R for quantitative analysis of financial market data.
- Delivered visual and written reports for executive decisions on algorithmic forecasting.
- Streamlined data workflows and enhanced predictive accuracy of financial models.
Education
Ph.D. - Applied Mathematics
University of California
Berkeley, USA06-1999
Master of Science - Mathematics
Imperial College London
London, UK03-1996
Bachelor of Science - Mathematics
University of Manchester,
Manchester, UK07-1994
Skills
- Mathematical Modeling & Optimization
- AI Prompt Engineering & Evaluation
- Statistical Inference & Data Science
- Algebraic Topology & Computational Logic
- Programming: Python, MATLAB, R, LaTeX
- Educational Leadership & Curriculum Design
- Machine Learning Integration in Mathematical Contexts
- Logical Reasoning & Abstract Problem Formulation
Accomplishments
- Keynote Speaker – AI x Math Innovation Symposium, 2024
- Workshop Leader – Cambridge Institute on Math + Machine Intelligence, 2023
- Panelist – European Conference on Applied Mathematics, 2022
- Presenter – International Congress of Mathematicians, 2019
Certification
- Certified Data Science Professional – Coursera, 2020
- Fellow, Institute of Mathematics and its Applications (IMA)
- Member, Society for Industrial and Applied Mathematics (SIAM)
- Member, American Mathematical Society (AMS)
Additional Information
SELECTED PUBLICATIONS
- Topological Reasoning in Large Language Models, Journal of AI and Mathematics, 2023
- New Algebraic Techniques for Model Evaluation, SIAM Review, 2021
- Machine Learning and Mathematical Proof Systems, Mathematics Today, 2019
- A New Approach to Algebraic Topology, Journal of Mathematical Sciences, 2016
- Computational Methods in Pure Mathematics, Cambridge Mathematics Journal, 2017
Timeline
Prompt Engineering Consultant
Independent Research Collaborator
06.2022 - Current
Associate Professor of Mathematics
University College London (UCL)
09.2010 - 05.2022
Mathematical Researcher
University of Oxford
01.2003 - 07.2010
Data Analyst – Mathematical Application
Barclays Bank
07.1999 - 12.2002
Ph.D. - Applied Mathematics
University of California
Master of Science - Mathematics
Imperial College London
Bachelor of Science - Mathematics
University of Manchester,
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