Naveen Goela

Naveen Goela


Location:Los Altos



(2017) Novel advances in DNA storage in collaboration with biologists at Harvard University.



Naveen Goela received undergraduate degrees in computer science and mathematics, and a M. Eng. degree in computer science in 2004, all from the Massachusetts Institute of Technology (MIT) in Cambridge, MA, USA. His research at MIT focused on multi-camera visual hull reconstruction, and motion graphs. In 2013, he received the Ph.D. in electrical engineering and computer science with designated emphasis in statistics from the University of California, Berkeley. His past experience includes a research internship at Mitsubishi Electric Research Labs (MERL) in 2006, a visiting scholarship at Ecole Polytechnique F\'ed\'erale de Lausanne (EPFL) in Switzerland during 2011-2012, and a post-doctoral research position at Qualcomm Research in Berkeley, CA, USA during 2013-2014. Currently, he is a member of Technicolor Artificial Intelligence Lab in Los Altos, CA, USA. From 2007-2010, he was awarded the U.S. National Defense Science and Engineering Graduate (NDSEG) Fellowship. He received Qualcomm's company-wide ImpaQt award in 2014 for patents related to 5G wireless communications, and company awards for patent innovation at Technicolor in 2015. He is currently the lead researcher at Technicolor Research on the topic of DNA storage, working in collaboration with biologists at Harvard University.



  • Statistics and Signal Processing
  • Machine Learning


  • DNA Storage
  • Deep Core, Deep Learning
  • Light Fingerprinting
  • Spark Distributed Computing



13+ Patents Filed (2015-2017). 

Latest publications


Discrete Wasserstein GANs (Generative Adversarial Networks)

Rizal Fathony, Naveen Goela

ICLR, 2017 (Machine Learning) Toulon France
April 28, 2017

Infrastructure-less Indoor Localizatin Usng Light Fingerprints

March 05, 2017

Advances in DNA Storage

IEEE Information Theory and Applications Workshop (ITA) 2017
February 12, 2017

Encoding Movies and Data in DNA Storage

2016 Information Theory and Applications (ITA-2016)
February 05, 2016


The Structure of Polarized Channels via Explicit Parameters

Allerton Conference on Communication, Control, and Computing
September 28, 2016