Hayato Ikoma


Email: hikoma(at)stanford(dot)edu

Github: https://github.com/hayatoikoma


I am a Ph.D. student at Department of Electrical Engineering, Stanford University and a member of Stanford Computational Imaging Group. For my Ph.D. research, I am focusing on the development of computational imaging techniques for fluorescence optical microscopy and broadly interested in signal processing, machine learning and optimization. Particularly, I am currently working on the application of convolutional neural network for optical microscopy. I also serve as a teaching assistant for EE267: Virtual Reality.

Before coming to Stanford University, I worked on new computational imaging techniques for fluorescence optical microscopy and a space telescope at MIT Media Lab and Centre de Mathématiques et Leurs Applications at École Normal Supérieure de Cachan (CMLA, ENS Cachan) in France. I also worked at the Google's Daydream team as a software engineering intern to develop an efficient image processing algorithm for head-mount displays.


Ph.D. candidate, Electrical Enginnering, Stanford University, Sept 2015 - June 2020 (expected)

M.S., Applied Mathematics, Ecole normale supérieure de Cachan, July 2015

M.S., Media Arts and Sciences, Massachusetts Institute of Technology, June 2014

M.S., Biophysics, Kyoto University, March 2012

B.E., Materials Engineering, University of Tokyo, March 2010


Jacques Hadamard Mathematics Foundation (9/2014 - 6/2015)

Funai Overseas Scholarship (9/2012 - 5/2014)

Iwadare Scholarhip (4/2011 - 3/2012)

Working experience

Google Inc., June 2016 - September 2016

Teaching experience

Teaching assistant: EE267: Virtual Reality (Sprint 2017, Spring 2018)


Conference / Workshops / Proceedings

Programming skills