We're creating a world where computers are natural extensions of thought and movement.

Cognescent is dedicated to answering the biggest questions in computing, neuroscience, and design so that creators can reimagine interactions with technology and one another.

Our work to create a transformative brain-machine interface spans research and challenges at the intersection of computational neuroscience, statistics, machine learning, biophysics, and human-computer interaction.

 
 

Scientific Advisors

KRISHNA SHENOy, PHD
PROFESSOR OF ENGINEERING AND DIRECTOR OF THE NEURAL PROSTHETIC SYSTEMS LAB AT STANFORD UNIVERSITY, HHMI

JOHN KRAKAUER, MA MD
JOHN C. MALONE PROFESSOR OF NEUROLOGY, NEUROSCIENCE, AND PHYSICAL MEDICINE & REHABILITATION AT JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE

LIAM PANINSKi, PHD
PROFESSOR OF NEUROSCIENCE AND STATISTICS, CENTER FOR THEORETICAL NEUROSCIENCE AT COLUMBIA UNIVERSITY

DARIO FARINA, PHD
PROFESSOR AND CHAIR OF NEUROREHABILITATION ENGINEERING, IMPERIAL COLLEGE LONDON

THOMas M. JESSEll, PHD
PROFESSOR OF NEUROSCIENCE, MOTOR NEURON CENTER AND HHMI AT COLUMBIA UNIVERSITY, HHMI

 
 
 

Investors

SPark Capital

Matrix Partners

Breyer Capital

Fuel CapitaL

Glaser Investments

 
 
 

Scientific Team

We're a team of world-class scientists and technologists designing the algorithms of the future.

THOMAS REARDON, PHD
CEO & Co-Founder

Prior to Cognescent, Reardon received his PhD in Neuroscience from Columbia University, was CEO and Co-Founder of Avogadro, Inc., acquired by Openwave where he served as CTO, and creator of Internet Explorer at Microsoft.  He's a founding Board Member of W3C, has 7 patents, and was an MIT "Top 35 Young Innovator" in 2004.

PATRICK KAIFOSH, PHD
CSO & CO-FOUNDER

Prior to Cognescent, Patrick received his PhD in Neuroscience from Columbia University, was a Co-Founder & Board Member at Geomechanica, Inc., and a Howard Hughes Medical Institute Fellow. He has 9 publications in scientific journals including Science, Nature Neuroscience (2012, 2013, 2014), Neuron, and the Journal of Neuroscience.

Tim machado, PHD
Advisor & CO-FOUNDER

Prior to Cognescent, Tim received his PhD in Neuroscience from Columbia University and was a Graduate Fellow of the National Science Foundation. He was the winner of the 2015 Kavli Award for Distinguished Research in Neuroscience and has 8 publications in scientific journals including Cell (2015, 2016), Nature, Neuron, and the Journal of Neurophysiology.

Adam Berenzweig, PHD
LEAD SCIENTIST

Adam has been productionizing machine learning for over 15 years. He was the founding CTO of Clarifai, an early pioneer in deep learning. From 2003 to 2013 he was a software engineer at Google, where he built the music recommender for Google Play Music, and worked on Photo Search and Google News. He received his PhD from Columbia in 2006.  

STEVE Demers, PHD
LEAD SCIENTIST

Steve received his PhD in Physics from CalTech in 2014. His work focused on the computational chemistry approaches in finding novel photovoltaic materials.  He has worked closely with research groups at CalTech and Fortune 500 companies. In addition, he has also pioneered technological innovation in cinema special effects, including award winning work for the 'Bullet-time' effect in The Matrix and subsurface rendering of Gollum's skin in The Lord of the Rings.  

EVAN Archer, PHD
LEAD SCIENTIST

Evan received his PhD in Computational Neuroscience from the Max Planck Institute for Biological Cybernetics in Tübingen, Germany. After completing his PhD work, he was a Postdoctoral Research Scientist in the Statistics Department at Columbia University. His work has been shown at Neural Information Processing Systems (NIPS)  and published in the Journal of Machine Learning Research (JMLR).

Jeffrey Seely, PHD
LEAD SCIENTIST

Jeffrey received his PhD in Theoretical Neuroscience from Columbia University in 2017. His work on neural data analysis and modeling has been published in scientific journals including Neuron, PLOS Computational Biology, and Physical Review.

NING GUO, PHD
LEAD SCIENTIST

Ning received his PhD in Electrical Engineering from Columbia University in 2017. His thesis focused on building a novel hybrid analog-digital computer chip for solving ODE/PDE with better energy-efficiency than conventional numerical methods. His work has been published in Journal of Solid-State circuits (JSSC), International Symposium on Computer Architecture (ISCA), IEEE Micro Magazine and other top conferences/journals.

 
 
 

Join Us

We've created a science and research driven environment for long term transformative technology. We're hiring creative, passionate people to join us.

Scientists - Ph.D. in neuroscience, physical sciences, statistics, robotics, computer science, or related field. Research interests in brain-machine interfaces, control systems,  biophysics, machine learning, and artificial intelligence.
Software Engineers - BA/BS or MS/Ph.D. in computer science or related field, plus experience developing high-impact software that people use everyday. Variety of opportunities including application development and implementing machine learning systems.
Designers - MS/Ph.D. in design, game design, human factors, human-computer interaction or related field, with experience researching, defining, and creating new systems for interaction.

Please email resume and cover letter to: jobs@cognescent.com