Teddy Dewitt

Teddy DeWitt has a diverse work experience spanning various roles and industries. Teddy'smost recent position is as the Lead Computational Social Scientist at Interos Inc, where they analyze financial statements, develops solvency scoring models, and utilizes machine learning techniques for risk assessment. Prior to this, they served as an Assistant Professor of Management at the University of Massachusetts Boston, teaching courses in strategic management, research methods, and data analytics. Teddy also worked as an Instructor and PhD Candidate at the University of Michigan Ross School of Business, leading workshops on big data analytics and conducting research on management and credit analysis. Additionally, Teddy has experience as a Financial Analyst at Harvard University and held multiple roles at Standard & Poor's, where they analyzed business risk, assessed creditworthiness, and provided strategic support to portfolio companies. Teddy began their career at FactSet Research Systems and worked as a Proprietary Equity Trader at both Carlin Financial Group and Worldco Financial Services.

Teddy DeWitt holds a Doctor of Philosophy (PhD) degree in Business Administration from the University of Michigan - Stephen M. Ross School of Business. Their field of study was Management and Organizations. They also have an MBA degree from the Yale School of Management, with a focus on Finance and Organizational Behavior. Teddy DeWitt obtained a BA degree in Sociology from Yale University. In addition, they have a certification in Agile Fundamentals, including Scrum and Kanban, obtained from Udemy in 2022.