DWDENNEY WINSTON
@denneywinston
Master's-level mathematician specializing in AI training methodologies.
United StatesWhat I'm looking for
I am a Master's-level Mathematician from Princeton University, specializing in AI training protocols for advanced mathematics. With over three years of experience, I have developed high-complexity prompt libraries and evaluation frameworks for various mathematical domains, including Algebra, Calculus, Probability, and Number Theory. My work has been recognized for effectively bridging abstract mathematical concepts with practical AI training methodologies, significantly optimizing model responses in generative AI projects.
In my current role as Lead Mathematics Curriculum Designer at InnoMath EdTech, I designed over 250 proprietary training prompts that benchmark GPT-4’s mathematical reasoning, leading to a remarkable 39% reduction in AI error rates for calculus problems. My previous experience as a Mathematics Research Fellow at the MIT AI Lab allowed me to co-develop the ProofMaster dataset, which has been instrumental in training large language models. I have also authored several methodological papers that have contributed to improving model accuracy in mathematical reasoning.
My passion for education and AI drives me to continuously seek innovative solutions that enhance learning experiences. I am dedicated to training the next generation of AI trainers and improving the consistency and effectiveness of AI in educational settings.
Experience
Work history, roles, and key accomplishments
AI Mathematics Model Developer
Mindrift Platform
Jan 2023 - Present (2 years 4 months)
Developed a gold-standard rubric for multivariable calculus responses and improved model performance on word problems through targeted prompt optimization.
Lead Mathematics Curriculum Designer
InnoMath EdTech
Jan 2022 - Present (3 years 4 months)
Designed over 250 proprietary training prompts for benchmarking GPT-4's mathematical reasoning, significantly reducing AI error rates in calculus problems. Trained a team of AI trainers in evaluation protocols, enhancing platform consistency and performance.
Project Lead
OpenAI Collective
Jan 2022 - Jan 2023 (1 year)
Led a team to create a comprehensive open-source number theory dataset, implementing innovative error correction techniques to enhance model self-correction capabilities.
Graduate Teaching Assistant
Princeton University Department of Mathematics
Sep 2019 - Feb 2021 (1 year 5 months)
Created a Problem Bank of over 400 original problems for the Advanced Calculus course and assisted in developing AI-supported tutoring systems, providing valuable feedback on model responses.
Mathematics Research Fellow
MIT AI Lab
Aug 2020 - Jan 2022 (1 year 5 months)
Co-developed the ProofMaster dataset for training large language models, authored several papers on AI mathematical reasoning, and led workshops to enhance interdisciplinary problem-solving capabilities.
Education
Degrees, certifications, and relevant coursework
PUPrinceton University
Master of Science, Mathematics
2022 - 2024
Grade: Dean's List (2022-2024), Phi Beta Kappa Honor Society
Activities and societies: Thesis published in Journal of Cryptography, 2025.
Master's-level Mathematician specializing in Algebraic Structures in Cryptographic Systems. Recognized for bridging abstract mathematical concepts with practical AI training methodologies.
UBUniversity of California, Berkeley
Bachelor of Science, Applied Mathematics
2017 - 2021
Developed machine learning models for predictive analytics in financial markets as part of the senior project.
Availability
Location
United StatesAuthorized to work in
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