GAYLE WILLIAMS

Spearheaded the development and assessment of AI models designed to interpret, solve, and explain mathematical problems across topics like linear algebra, calculus, and statistical analysis. Collaborated with cross-functional teams, including educators and data scientists, to enhance AI systems’ capabilities in generating curriculum-aligned content for K-12 and higher education as well as running quality checks. Designed and developed complex mathematical problem sets to evaluate AI model’s performance, aiding ongoing improvements on algorithms’ accuracy and reliability. Wrote comprehensive reports and delivered presentations to stakeholders on AI model developments and prepared technical documentation on advancements in AI mathematics training.

Successfully led consultancy projects for over two dozen clients, offering strategic and tailored insights on mathematical problem-solving and data-driven decision-making processes. Skillfully conducted workshops on data science techniques and mathematical modeling, customized to meet the specific needs of business clients aimed at optimizing operations through quantitative analysis. Oversaw the creation, design and implementation of statistical models for applications like supply chain optimization, forecasting, and resource allocation, with a focus on cost-efficiency and operational efficiency. Provided guidance to junior data science consultants, accessing and reviewing their mathematical models to ensure alignment with industry best practices and practical applicability.

Diligently supported senior researchers in the development of statistical models for data-driven insights in various applied fields, including healthcare, education and environmental studies. Organized a team which conducted preliminary data analyses and statistical tests, focusing on the practical applications of mathematical models in public sector projects. Authored technical reports that outlined mathematical findings from previous research and proposed recommendations, emphasizing the real-world impact of applied mathematical research. Assisted in the creation of data visualization tools and models to capture complex statistical results, aiding accessibility and understanding for stakeholders and partners.