Contact Information

Lav R. Varshney
Research Staff Member
Thomas J. Watson Research Center, Yorktown Heights, NY USA
lrvarshnatus.ibm.com      +1dash914dash784dash7036


Lav R. Varshney was born in Syracuse, New York on October 28, 1982. He received the B. S. degree with honors in electrical and computer engineering (magna cum laude) from Cornell University, Ithaca, New York in 2004. He received the S. M., E. E., and Ph. D. degrees in electrical engineering and computer science from the Massachusetts Institute of Technology, Cambridge in 2006, 2008, and 2010, respectively.

He is a research staff member at the IBM Thomas J. Watson Research Center, Yorktown Heights, NY. He was a postdoctoral associate and research assistant in the Signal Transformation and Information Representation Group in the Research Laboratory of Electronics, a National Science Foundation graduate research fellow, and a research assistant in the Laboratory for Information and Decision Systems at MIT. He was an instructor in the MIT Department of Electrical Engineering and Computer Science in Spring 2009 and a teaching assistant in Fall 2006. He was a visitor at the Laboratoire de Theorie de l'Information and the Laboratoire de Theorie des Communications at the Ecole Polytechnique Federale de Lausanne, Switzerland in 2006, a visiting scientist at Cold Spring Harbor Laboratory, Cold Spring Harbor, New York in 2005, a research engineering intern at Syracuse Research Corporation, North Syracuse, New York during 2002-2003 and an engineering intern at Sensis Corporation, DeWitt, New York in 2001. His research interests include information and coding theory, collective intelligence, data analytics, sociotechnical systems, and neuroscience.

Dr. Varshney is a member of Tau Beta Pi, Eta Kappa Nu, Sigma Xi, and IEEE. He received the Jin-Au Kong Award Honorable Mention for Electrical Engineering doctoral thesis, the Ernst A. Guillemin Thesis Award for Outstanding Electrical Engineering S.M. Thesis, a best paper award at the 2012 SRII Global Conference, the Capocelli Prize at the 2006 Data Compression Conference, the Best Student Paper Award at the 2003 IEEE Radar Conference, and was a winner of the IEEE 2004 Student History Paper Contest.

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