Researchers and Residents
Ningyuan is an assistant professor of the Department of Management at the University of Toronto, Mississauga and cross-appointed at the Rotman School of Management, University of Toronto.
Before joining UofT, he was an assistant professor of HKUST. He received his Ph.D. from the Industrial Engineering and Operations Research (IEOR) department at Columbia University.
He studies how to leverage data-driven approaches in retailing and revenue management. The methodology includes online learning, machine learning, and optimization. The application includes personalized recommendation, dynamic pricing, A/B testing, and privacy issues.
Otto Yung has 18 years of experience working in a range of sectors including financial services, higher education, telecommunications, hydro-utility, manufacturing and municipal services.
He has led multi-million dollar programs and initiatives in: corporate finance, operations, risk management, capital planning, mergers and acquisitions, and enterprise application software.
Otto is a CFA Charterholder, an Accountant (CPA, CMA) and a Professional Engineer (P.Eng.).
In current data-related activities, he has been supervising UTM undergraduate students under the Research Opportunity Program since the summer of 2019 (i.e. Course Code MGT 399). These students have been working with Python, Power BI, Tableau and Excel in visualizing and analyzing time series data and other business-related data.
These activities have influenced the teaching material and timed assessments for several courses that he teaches (e.g. Risk Management, Coding and Financial Modelling). For the BDAIH, he is interested in developing short case studies and assignments focusing on data visualization/analytics.
Barend is an assistant professor in the department of Language Studies at UTM, with a graduate appointment at Linguistics (UTSG) and a cross-appointment at Computer Science (UTSG).
His main interest is the development of computational models that shed light on word meaning. To do so, he uses language data from social media as well as translations in which the same document has been translated into many languages. This allows him to study the variation in word meaning between languages as well as develop a fine-grained perspective on the interpretation of word meaning in context.
Gerhard Trippen is a Lecturer in Quantitative Methods and Operations in the Department of Management at the University of Toronto Mississauga, with a cross-appointment to the Operations Management and Statistics area at the Rotman School of Management.
Gerhard teaches Operations Management and Statistics for the Master of Management and Professional Accounting Program (MMPA) as well as Analysis for Decision and Control for the undergraduate program at the University of Toronto Mississauga.