Varun Jog

I am an Assistant Professor in the Electrical and Computer Engineering Department at UW-Madison, with affiliated appointments in the Departments of Mathematics and Statistics. I am a fellow of the Grainger Institute for Engineering. My research interests lie in the areas of information theory, machine learning, and network science.

From 2015-2016, I was a postdoctoral fellow at the Warren Center for Network and Data Sciences at the University of Pennsylvania. I was hosted jointly by the Statistics and CIS departments. I completed my PhD in the EECS Department at UC Berkeley in 2015, where I was advised by Professor Venkat Anantharam.

I graduated with a Bachelor of Technology (B. Tech) degree in Electrical Engineering from IIT Bombay in 2010. I was advised by Professors Abhay Karandikar and Sibi Raj B Pillai. I also spent three exciting months at the Department of Information Engineering, Chinese University of Hong Kong, working with Professor Chandra Nair in 2009.


My office address is 4611 Engineering Hall. I can be reached by email at vjog at wisc dot edu.


Fall 2016: ECE 730, "Modern Probability Theory and Stochastic Processes"

Spring 2017: ECE 729, "Theory of Information Processing and Transmission"

Fall 2017: ECE 730, "Modern Probability Theory and Stochastic Processes"

Spring 2017: ECE 203, "Signals, Information, and Computation" (shadowing Prof. Barry Van Veen)

Fall 2018: ECE 203, "Signals, Information, and Computation"



  • Adrian Tovar Lopez (Department of Mathematics)
  • Jing Hao (Department of Mathematics, advised by Prof. Nigel Boston)
  • Ankit Pensia (Department of Computer Sciences, co-advised with Prof. Po-Ling Loh)
  • Jinnian Zhang (Department of Electrical and Computer Engineering)
  • Bhumesh Kumar (Department of Electrical and Computer Engineering)

MS in Electrical and Computer Engineering

Machine Learning and Signal Processing accelerated program

  • To MLSP students on campus: Please email me if you would like to do your MLSP project at the intersection of Machine Learning and Medical Imaging.


  • Yogesh Balaje Mahendran


Conference papers

Journal papers

Recent news

  • (10/18) I will speak at an invited session titled "Graph theory and machine learning" at Allerton Conference.
  • (08/18) Congrats to Geoffrey Lau and Kamini Jodha for graduating with a Master's Degree in Machine Learning and Signal Processing! Geoffrey, Kamini, and Jinnian worked with General Electric Healthcare and Dr. Alan McMillan, and successfully completed their summer project of identifying anatomical boundaries in MR images using deep learning.
  • (08/18) ML4MI pilot grant awarded! Thanks to the Department of Radiology and the Grainger Institute of Engineering for supporting my collaboration with Dr. Alan McMillan.
  • (07/18) Thanks to NSF for funding my EAGER proposal with Po-Ling Loh (co-PI)!
  • (06/18) Talk at IMS-APRM, Singapore.
  • (05/18) I was a discussion leader representing the College of Engineering at the Wisconsin Institute for Healthcare Science & Engineering (WIHSE) annual conference.
  • (05/18) I spoke at the UW Math Talent Search's Honors Day event! My talk was titled "Little bits of information".
  • (04/18) I was a panelist at the IFDS student workshop to discuss "Collaborative Data Science Research: Trends and Advice."
  • (04/18) Congratulations to Yogesh for winning the Hilldale Undergraduate/Faculty Research Fellowship! Yogesh will be collaborating with Prof. Dhavan Shah's group to analyze the spread of misinformation in social networks.
  • (03/18) Probability and Combinatorics Workshop at Bellairs Research Institute, Barbados.
  • (03/18) Three papers from our group accepted to ISIT 2018!
  • (02-03/18) Visit to Isaac Newton Institute at Cambridge. Talks at INI, University of Cambridge, and Bristol University.
  • (02/18) Talk at ITA 2018.