Center for Visual and Decision Informatics

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Alex Langevin

Student - University of Virginia

Email: arl4zk@virginia.edu

Education:

Ph.D., Systems & Information Engineering | University of Virginia | 2018 - 2013

M.S., Computational Mathematics | Duquesne University | 2016 - 2018

M.Sc., Finance & Banking | University of Strathclyde | 2010 - 2011

BIB, International Business, Finance, Economics | Carleton University | 2006 - 2010

ULB, Université libre de Bruxelles | Finance - International Exchange Program | 2008 - 2009

Biography:

Alex Langevin is a graduate student in systems and information engineering at the University of Virginia. His primary fields of interest include statistical and machine learning, and related topics such as missing data handling. Alex received his B.S. in international business from Carleton University, an M.S. in banking and finance from the University of Strathclyde, and an M.S. in computational mathematics from Duquesne University. His interdisciplinary background continues to inform his interest in machine learning, and pursuit of novel applications in finance, healthcare and other domains where privacy-preservation is important.

Alex is Peter and Crisler Quick Jefferson Fellow.

Involved Projects (Student):

9a.018.UVA - Improving Model Performance via Private Multi-Party Leaning of Hidden Features
8a.004.UVA - General Techniques for Explaining/Interpreting Deep Neural Networks
7a.013.UVA - Privacy Preserving Multi-Party Analytics