
Ph.D. Students
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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.
Greg Faletto
Ph.D Candidate 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.
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 improving human interactions with humans, algorithms, and technologies to enable better performance. He uses empirical methods to study such issues in healthcare (chronic disease management, telemedicine) and charitable giving (blood donation). He earned his M.S. in Operations Research Engineering and B.S. in Industrial and Systems Engineering at the University of Southern California.
Mohammad Mehrabi
Ph.D. Candidate in Data Sciences and Operations
Mohammad is a 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. Candidate 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.
Bradley Rava
Ph.D. Candidate in Data Sciences and Operations
Bradley is a Ph.D. student in the statistics group at USC Marshall. He received his bachelors at USC in applied math and has also previously studied at Yale University and the London School of Economics.
His research interests lie in Fairness and Transparency in Machine Learning, Empirical Bayes, and High Dimensional Statistics. Bradley's research has also been supported by the National Science Foundations Graduate Research Fellowship in Mathematical Statistics and USC's Global Branding Fellowship.
His research interests lie in Fairness and Transparency in Machine Learning, Empirical Bayes, and High Dimensional Statistics. Bradley's research has also been supported by the National Science Foundations Graduate Research Fellowship in Mathematical Statistics and USC's Global Branding Fellowship.