Olga Biedova is an Assistant Professor of Business Analytics at the School of Business at the College of Charleston. Her research interests are spread across several areas: portfolio insurance strategies, information security, scientometric analysis, and data analytics. Olga is a member of INFORMS, DSI, and AIS societies. At the College of Charleston, she teaches core business courses: Business Statistics, Management Information Systems; and business electives: Computer-Based Decision Modeling, Business Analytics.
She believes that Bentley’s Ph.D. program gave her a rare combination of business thinking, diverse quantitative skills, and nuanced training specific to academic success. The attention and guidance from the academic advisors and faculty together with available teaching assignments really set the Ph.D. program at Bentley apart from others.
Year of joining the Bentley Ph.D. program: 2015
Graduation year: 2020
Dissertation title: Portfolio Insurance Strategies. Parameter Optimization and Comparison Study.
Dissertation Committee Chair: Victoria Steblovskaya, Professor of Mathematical Sciences, Bentley University
Committee Members: Winston S. Buckley, Associate Professor of Mathematical Sciences Bentley University; Jahangir Sultan, Professor of Finance, Bentley University; Gianluca Fusai, Professor in Financial Mathematics, Università degli Studi del Piemonte Orientale, and Reader (P.-T.) in Finance, Cass Business School
Tao Li is currently holding an assistant professor position at SUNY New Paltz. Tao Li is responsible for teaching the business analytics courses and developing the business analytic program there. Tao Li’s research interest focuses on analytic applications in the area of finance and accounting.
When being a PhD student at Bentley University, Tao Li’ dissertation topic focused on the effectiveness of financial analysts’ stock recommendations and herding network among analysts. Tao Li has worked with many faculties in the department of mathematical sciences, which included his advisor Prof. Sam Woolford, Prof. Mingfei Li, Prof. Dominique Haughton, and Prof. Piaomu Liu.
Mayokun Fadeyibi is a Strong business development and strategy professional with vast experience across a variety of industries from Technology, E-Commerce, Online Classifieds, to Marketing (Online, Offline - BTL & ATL) at startups and mature companies. Mayokun holds a PhD in Business Analytics from Bentley University.
She started her career as a research intern at the UN-Habitat in Kenya and continued to build her career in Data analytics while in the US before she eventually moved to Nigeria where she then took on a role as a Senior Business Development Manager at OLX and subsequently served as the Acting Country Manager at OLX.
She then moved on to Cars45 where she was responsible for a number of functions including Commercial Operations, Marketing, Business Optimization & Intelligence, Lead Management and Customer service. She is a member of the Founding team at Autochek Africa and currently serves as the Senior Vice President, West Africa where she manages Nigeria, Ghana and Cote d’Ivoire operations.
Over the last decade, Joe has utilized cross-functional big data, industry-leading technologies, the newest data science practices, and a love for digital transformation to drive strategic action around some of Dell Technology's most complex Sales & Business Operations challenges. Fast forwarding to the present, Joe now serves as the Senior Director of Digital Solutions for Global Operations in Dell's Supply Chain organization – focused on data, analytics, and automation. Outside of Dell, Joe has worked as an Adjunct Assistant Professor in the Graduate School at Bentley University where he has taught courses like Customer Data Analysis and Quantitative Methods for Business Decisions. In addition, Joe was a founding member of the Conference Board's Council on Data Analytics (2020), which he actively participates in today. Joe received his Bachelor’s from Babson College with concentrations in Statistical Modeling and Marketing (2010), his Master’s from Bentley University in Marketing Analytics (2012), and his PhD from Bentley University in Business Analytics (2019).
Guillaume Weisang has experience doing research in asset management from an academic and industry perspective. His formal training and personal interests lie in the overlap between business (esp. finance), applied mathematics (including statistics) and computer science. Topics Guillaume has worked on include among others: Bayesian statistics and econometrics, Bayesian networks, time series, hedge fund performance evaluation and replication, hedge fund systemic risk, risk parity portfolios, model selection and using machine-learning techniques to detect and create trading signals on commodities, equity futures or sport bets from very large data sets. His work has been both published in Quantitative Finance and other high-level peer-reviewed publications and used to develop financial products such as the SGAM T-Rex alternative beta mutual fund and ETF launched on the EuroNext platform in 2007 and 2008 respectively. A native of Paris, France, and a permanent US resident, Weisang holds a PhD in Business Analytics (2011) from Bentley University, MA, a MSc (2005) in computer science and applied mathematics from INP Toulouse (ENSEEIHT) in France, as well as a MS (2005) in Financial Engineering and Modeling from Toulouse Business School (ESCT), ISAE-Supaero and the National Institute in Advanced Sciences of Toulouse (INSA), all top-tier institutions.