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Ph.D. Students

Julia Balukonis

Ph.D. Student in Data Sciences and Operations

Rashmi Ranjan Bhuyan

Ph.D. Student in Data Sciences and Operations
Rashmi is a first year PhD student in the statistics group at USC Marshall School of Business. He is broadly interested in statistical methods and their application in social science and business. Prior to joining USC, he received his bachelor’s and master’s degree in statistics from the Indian Statistical Institute, Kolkata.

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
Aikaterini Giannoutsou is a PhD student in the Data Sciences and Operations department in the Marshall School of Business. She previously obtained her bachelor’s degree in Mathematics and Economics at New York University and worked as a Research Assistant at the Operations Research Center of MIT where she focused on healthcare operations. Her current research focuses in mechanism design and the dynamics of two-sided platforms.

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
Mohammad is a third-year PhD candidate in the statistics group at USC Marshall. He is broadly interested in algorithmic statistics and machine learning with applications to modern data science arising problems. Prior to joining USC, Mohammad studied electrical engineering and mathematics at Sharif University of Technology, Tehran, Iran, where he received his bachelor degrees from 2013 to 2018.

Justin Mulvany

Ph.D. Student of Data Sciences and Operations
Justin is a Ph.D. Candidate in the Data Sciences and Operations department at USC Marshall School of Business. His research interests include stochastic modeling, service management, and queueing theory. Before arriving at Marshall, Justin completed his B.S. and M.S. in mathematics at Cal State University, San Marcos.