Ph.D. Students

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    Jung Koo Kang

    Ph.D. Candidate in Accounting
    Jung Koo Kang is a PhD student in Accounting. He graduated from Korea University with a Bachelor's Degree in Business and earned a Master's Degree in Statistics from University of Minnesota. Prior to joining the Marshall PhD Program, he worked as an auditor, credit rating analyst and loan officer. His research interests are in debt contracting, credit rating agency, financial institutions and bank regulation.

    More information about my research can be found at or

    Tom Kwon

    Ph.D. Student in Management and Organization

    Tina Lang

    Ph.D. Candidate in Accounting
    Tina Lang is a Ph.D. student in the Leventhal School of Accounting. Her research interests include the information content of disclosure, corporate social responsibility, and disclosure regulation. Prior to the Ph.D. program, Tina worked as a senior tax associate in public accounting for BDO USA and KPMG in Boston. She is a licensed CPA with a Masters of Accountancy and BBA from the University of Wisconsin-Madison.

    Robin Young-hye Lee

    Ph.D. Student in Finance & Business Economics

    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.

    Jinhong Lu

    Ph.D. Student in Management and Organization

    Ilya Lukibanov

    Ph.D. Candidate in Marketing
    Ilya is a first-year Ph.D student in quantitative marketing. Prior to that, he studied Economics in Russia. His research interests include information economics, organizational economics and structural modelling

    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.