
Ph.D. Students
- Home
- Departments
- Data Sciences and Operations
- Ph.D. Students
Julia Balukonis
Ph.D. Student in Data Sciences and Operations
Rashmi Ranjan Bhuyan
Ph.D. Student in Data Sciences and Operations
Joshua Derenski
Ph.D. Candidate in Data Sciences and Operations
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.
Greg Faletto
Ph.D Student in Data Sciences and Operations
Gregory Faletto is a PhD Student in the statistics group of the Department of Data Sciences and Operations. He is interested in feature selection, causal inference, & modeling with applications in social science and business.
Aikaterini Giannoutsou
Ph.D. Student in Data Sciences and Operations
Michael Huang
Ph.D. Candidate in Data Sciences and Operations
Michael Huang is a PhD student in the Data Science and Operations department in the Marshall School of Business. He previously studied Operations Research at Columbia University where he worked on research in healthcare operations. His research interests are in developing better optimization methods and algorithms to improve decision making under uncertainty.
Shobhit Jain
Ph.D. Candidate in Data Sciences and Operations
Shobhit is a final year Ph.D. Candidate in Data Sciences and Operations department at USC Marshall School of Business. His research interests include information design, social networks, revenue management, and design of algorithms. Prior to joining USC, he completed his B.Tech in Production and Industrial Engineering from Indian Institute of Technology Delhi in 2016.
Wilson Lin
Ph.D. Candidate in Data Sciences and Operations
Wilson Lin is a Ph.D. Candidate in the Data Sciences and Operations department at the USC Marshall School of Business. Wilson's research focuses on understanding and improving human interactions and behavior to enable better performance. He seeks to use empirical methods to study such issues in healthcare, telemedicine, and charitable giving. He earned his M.S. in Operations Research Engineering and B.S. in Industrial and Systems Engineering at the University of Southern California in 2017.
Mohammad Mehrabi
Ph.D. Student in Data Sciences and Operations
Justin Mulvany
Ph.D. Student of Data Sciences and Operations