Olivier JMD Coenen

Pronouns: he/him

Principal Scientist, Research, Brainchip Inc.

  • Joined May 2025

Names

Olivier JMD Coenen (Preferred)
,
Olivier Coenen
,
Olivier J Coenen
,
Olivier JM Coenen
,
Olivier JD Coenen
,
Olivier D Coenen
,
Olivier M Coenen
,
Olivier MD Coenen
,
Olivier J.M.D. Coenen
,
Olivier J.-M. D. Coenen
,
Olivier J.-M.D. Coenen
,
Olivier J.-M. Coenen
,
Olivier J.D. Coenen
,
Olivier J.M. Coenen
,
Olivier M.D. Coenen
,
Olivier J. Coenen
,
Olivier M. Coenen
,
Olivier D. Coenen
,
Olivier J. D. Coenen
,
Olivier J. M. D. Coenen
,
Olivier J-M D Coenen
,
Olivier J-M. D. Coenen

Emails

****@brainchip.com (Confirmed)
,
****@gmail.com (Confirmed)
,
****@me.com (Confirmed)
,
****@kelzal.com
,
****@qelzal.com
,
****@qelzal.com
,
****@kelzal.com
,
****@oliviercoenen.com (Confirmed)

Personal Links

Career & Education History

Principal Scientist
Research, Brainchip Inc. (brainchip.com)
2021 – 2025
 
CTO
Kelzal (Qelzal Corporation) (kelzal.com)
2014 – 2020
 
CEO
Qelzal Corporation (qelzal.com)
2014 – 2019
 
CEO
Intentiva Inc. (intentiva.com)
2013 – 2014
 
Senior Scientist
Brain Corp (braincorp.com)
2010 – 2013
 
Researcher
Sony Computer Science Lab (csl.sony.fr)
2001 – 2008
 
Research Associate II
Rady Children's Hospital San Diego (rchsd.org)
1998 – 2001
 
PhD student
Physics (Biophysics), University of California, San Diego (ucsd.edu)
1992 – 1998
 
PhD student
Computational Neurobiology Lab, Salk Institute (salk.edu)
1992 – 1998
 
Undergrad student
Honours Physics, McGill University (mcgill.ca)
1984 – 1989
 

Advisors, Relations & Conflicts

Coauthor
Present
 
Coauthor
2021 – 2025
 
Coauthor
2010 – 2013
 
PhD Advisor
1992 – 1998
 

Expertise

deep learning
Present
 
RNN
Present
 
SSM
Present
 
ICA
Present
 
InfoMax
Present
 
sparse representation
Present
 
SNN
Present
 
event-based processing
Present
 
event-based neural network
Present
 
event-based vision sensor
Present
 
sensorimotor theory
Present
 
cerebellum
Present
 
cerebellar model
Present
 
vestibuloocular reflex
Present
 
dynamical system
Present
 
dynamical system embedding
Present
 
time-delay embedding
Present
 
state-space model neural network
Present
 
mathematical physics
Present
 
latent space embedding
Present
 
independent component analysis
Present
 
information maximization
Present
 
independent representation
Present
 
optimal control
Present
 
control theory
Present
 
reinforcement learning
Present
 
event-driven simulation
Present
 
neuroscience
Present