Trambak is a PhD student in Statistics at USC Marshall School of Business. His research interests include high-dimensional statistical inference, large scale optimization techniques and computational statistics. He has previously served as a quantitative risk modeler in the financial services sector where he developed statistical models for estimating banking regulatory capital for Credit and Operational risk events.
Wayne Chang is a student of finance whose research interests include asset pricing, investment strategies, and behavioral biases. Prior to his Ph.D. studies, he worked as a strategy consultant in the financial services industry and was engaged in a variety of risk-related projects for major commercial banks and other financial institutions.
Sung Hun (Brian) Chung is a Ph.D. student at the USC Marshall School of Business studying strategy and organization theory. His undergraduate majors were Business Administration and Economics at Seoul National University. His master's was in Strategic Management at the same school. His research interests include behavioral strategy, organization theory, economic sociology, and social psychology. More specifically, he is interested in how managers' cognitive process and network structure influence their firm's strategic change and organizational action.
Hailong Cui is a data scientist working at the interface of operations management and data analytics. His current research interests are in the areas of game theory, statistical machine learning and econometrics with applications to sustainability, business analytics and sharing economy. He served as a fraud risk manager with American Express and a credit risk analyst with HSBC. He is a recipient of Provost PhD Fellowship at USC.
Josh is a statistics Ph.D. student in the Marshall School of Business. He obtained his bachelor’s degree in statistics at UCLA, where he analyzed energy consumption data for the UCLA Institute for the Environment and Sustainability. His current research interests are time series analysis and functional data analysis.