Sameer Saproo, Ph.D.

CEO, Co-founder

Selfie

I grew up in several small towns across northern India. That multi-ethnic multi-lingual upbringing taught me how to adapt quickly to changing circumstances as well as the merits of employing multiple perspectives to aid understanding of complex issues. An avid reader, I have a voracious appetite for the new and the interesting in multiple fields, e.g. economics, military history, philosophy, etc. I also find immense joy in working with people who are talented, iconoclastic, and original; consider working at Braiq if you are one.

Background

Ph.D. Psychology, University of California San Diego
M.S. Computer Science, University of California Irvine
B.E. Information Technology, Mumbai University

Sameer attributes his long-term professional interests, which encompass Human Intelligence, Artificial Intelligence, and the interaction of the two, to the movie The Matrix. It led him to a multidisciplinary graduate school experience where he studied first artificial intelligence and later the human brain. His Ph.D. research into the neural mechanisms underlying visual attention has been felicitated with multiple awards, including one by Computational and Systems Neuroscience (COSYNE) community. Post Ph.D., Sameer continued neuroscience research during a postdoctoral fellowship at New York University. His interests came full circle when he moved to Columbia University. There, Sameer held an academic position as an associate research scientist in the biomedical engineering department, where he worked on a DARPA-funded project to build brain-computer interfaces and met the other co-founders of Braiq. Along the way, he also picked up a few valuable skills in the corporate world, during a couple of years at SAP Labs.

Notable Publications

  1. Neural mechanisms underlying catastrophic failure in human–machine interaction during aerial navigation, Journal of Neural Engineering, 2016.
  2. Cortically Coupled Computing: A New Paradigm for Synergistic Human–Machine Interaction, IEEE Computer, 2016.
  3. Attention Improves Transfer of Motion Information between V1 and MT, The Journal of Neuroscience, 2014.

google scholar profile