• Developing the Data Universe, a map of all data assets, to identify opportunities for data consolidation and cross-team collaboration. Coordinated with teams across Technology to create Neo4J instance to store map efficiently. Continuing to develop model to consider data proliferation and data lineage. • Developing AI Metadata Generation model to improve data findability and improve model development pipeline across the firm. • Developing Graph Convolutional Network (GCN) using peer-to-peer map of customer transactions to identify risky behavior. Results will feed into downstream anti-money laundering and fraud processes to reduce manual review by investigators. • Collaborating with Retail Banking and Marketing to create Customer Journey model to reduce customer churn by quantifying the effect of pain points and optimizing an intervention strategy for maximizing lift and retention. • Managing team of data scientists on cross-functional project to create behavioral segments of customers as an input for fraud and marketing decisioning models.

I co-founded and continue to direct the first spinout company from Saïd Business School – fourth spinout in university’s social science division. This includes managing a laboratory specializing in mathematical research for global corporations. I integrate cutting-edge mathematics research with marketing theory to yield measurable, verifiable, and actionable answers to business questions while facilitating long-term, mid-range, and short-term planning. This includes spearheading business analysis and recommend marketing solutions while collaborating directly with senior executives of global firms. At Augmented Intelligence Labs, we push boundaries of academic research while providing real world competitive advantages for clients in areas ranging from marketing to sustainability.• Co-founded Saïd Business School’s first successful IP transfer, which uses mathematical research to identify issues and solutions to key business and social challenges such as managing corporate growth, market positioning, forecasting, business analysis, and applying AI techniques. • Developed client list that includes Unilever, Reckitt-Benckiser, L’Oréal, LVMH, Nestle, and Kantar. • Hypertrends Algorithm: Invented algorithm foundational to Kantar’s Issue Radar Platform. Algorithm uses applied mathematics to help marketers understand dissemination and impact of ideas, social issues, and human attitudes. It identifies and analyzes trends prior to mapping complex social connections. Going forward, this will allow Kantar to ensure sustainability strategy and practices, market data business, and investments align with policy and goals. The Issue Radar Platform facilitates long-term decision-making by yielding measurable and verifiable data that creates context and rationale for long-term predictions about society and business environments. Kantar is a UK based global pioneer in designing analysis and decision support systems as well as integrated market research tools.

I also mentor graduates and undergraduate in group and individual settings as Postdoctoral Fellow at University of Oxford. It’s my job to ensure learners master pure and applied mathematics research and techniques. My experience includes the following: • Tutorial Leader: Undergraduate Marketing Core, Marketing as a Driver of Firm Growth, Hillary 2022.• Teaching Assistant, MBA Marketing Core, Segmentation, Targeting, Positioning, and Customer Value, 2019, Michaelmas 2021.• Invited Lecturer, Executive Diploma in Artificial Intelligence for Business: Descriptive, Predictive, and Prescriptive Analysis, Hilary Michaelmas, 2021.• Thought Leaders Panel Discussion Co-Chair, Executive Diploma in Artificial Intelligence for Business. Hillary, Michaelmas, 2021.

I accepted an offer with the Marketing Department of Saïd Business School to conduct mathematical research into social networks. As a Postdoctoral Research Fellow, I meet regularly with partners such as Meta, Apple, Twitter, and Google. The role also provides me with an opportunity to apply mathematics to solve business problems, create future facing marketing strategies, and develop measurable, verifiable mathematical answers to proprietary and strategic questions. I strengthen relationships with executives while championing application of mathematics to answer questions relating to long-term marketing, social responsibility, and business strategies. In addition, I collaborate with enterprises to develop external commissioned reports, proprietary strategies, data, theorems, and presentations and workshops. Term ends in 2023.• Framework for AI in Business External Report/International Chamber of Commerce: Partnered with International Chamber of Commerce to build a multi-faceted policy shaping report which laid groundwork for ethical AI Deployment across 45M businesses members around the world. Contributed the data, analysis, and interpretations incorporated into the Ethics for AI in Business 2021 Summary: https://ssrn.com/abstract=3871867• Mars, Inc. Here to be Heard Campaign: Effectively teamed with Date Analysis Team at Mars Incorporated on research to develop data informed strategies that facilitate women's success in achieving aspirations in community and workplace while eliminating gender-based barriers.• Here to Be Heard 2021 Summary: Contributed data modeling and analysis that were incorporated into summary. The report identified key areas of system discrimination raised during interviews with 10K women in 80+ countries. Part of the Mars Campaign to Advance Action on Gender, the report is available here: https://www.mars.com/heretobeheard

During my time at USC, I supported undergraduate and graduate students in their research projects while completing my own PhD research and course requirements. I also completed formal training to master crucial teaching and mentoring skills. Delivered academic presentations, authored articles based on research findings, and submitted articles to mathematics journals. • Became first graduate of USC’s Preparing Future Faculty Certificate Program (with Distinction) in 2019 after completing the program designed prepare Research Associates for university teaching. • Delivered Research Advisement to Research Interns from minority backgrounds through multiple programs including the Support for Minority Advancement In Research Training Program (SMART). Upon Completion of program, graduate students completed poster presentations and shared research findings at local conferences. Details: Summary of Splitting Numbers for Integer Tiles J. Folks, S. Lee, S. Miyasaki, C. Simmons, C. Stewart (Summer 2016). • Guided undergraduate students completing research as Magellan Scholars’ Award Program Mentor (Fall 2015 – Summer 2016).Students were required to complete a poster and present it at local conferences. Details: Generalized Dinitz Conjecture E. Miller. • As a Graduate Student Mentor, funded by Innovative Research Award ID #1544346 and #1725295, coached four emerging Mathematics instructors per semester (16 across four semesters) as they transitioned from graduate teaching assistants to graduate student instructors. Delivered monthly observations and mentored each TA during one- on-one post-observation meetings in addition to leading bi-weekly group meetings (Fall 2017 to Spring 2017).

I prepared and delivered lectures, supervised and assessed student assignments, and supported students in mastering curriculum objectives. In addition, I guided students in students in classroom and individual settings, • Instructor of Record, Math 115, Precalculus: Algebraic and Trigonometric Properties of Functions, Fall 2015.• Instructor of Record, Math 122, Business Calculus: Study of Profit, Revenue, and Cost Through the Lens of Functions. Fall 2017, Spring 2018, Fall 2018.• Instructor or Record, Math 170, Finite Mathematics, Set Theory, Probability, and Counting, Fall 2015, Summer 2015, Spring 2016. • Teaching Assistant, Calculus 1, Math 141: Study of Change with Elements of Algebra and Geometry, Fall 2014, Spring 2015.