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.
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.
Luella Fu is a Ph.D. student in Statistics. Her research interests include high-dimensional data analysis, algorithms, finance and technology. She was previously at Yale conducting biostatistics research and at Facebook modeling advertising revenue.
Negin Golrezaei is currently pursuing her Ph.D. at the department of Data Sciences and Operations, Marshall School of Business at the University of Southern California. Her current research interests include mechanism design, optimization algorithms, machine learning, and their applications in design and operations of online markets. She received her B.Sc. and M.Sc. degrees from the Sharif University of Technology, Iran, in 2007 and 2009, respectively. She is the recipient of Provost's Ph.D. fellowship from the University of Southern California in 2011.
Han, Rongqing is a first year Ph.D. student in Operations Management. His research interest falls on to the application of econometrics model in operations management. Prior to his Ph.D program in Marshall School of Business, he spent the last six years studying finance at Shanghai University of Finance & Economics. He is passionate about learning operations research and stochastic process methodologies and those applications in business world. He wants add more econometrics and empirical elements in the field of operations management during the program.
Erhun Ozkan is a PhD student in the Data Sciences and Operations department. His research interest is application of operations research tools such as probability theory, queuing theory, Markov Decision processes, mathematical programming in real life optimization problems.
Weinan is a Ph.D. Student in the Marshall School of Business Department of Data Sciences and Operations. Research projects include: Multistate Adaptive Testing in Ultra-High Dimensions while at USC and Causal Analysis of Twitter Mood and Stock Indices as an M.A student in Statistics at UC Berkeley.