I am currently a postdoctoral researcher at the Miller lab, part of the MIT's Picower Institute for Learning and Memory and the Brain + Cognitive Sciences department  ath the Massachussetts Institute of Technology.

My research interest lies in the intersection of the fields of neuroscience, artificial intelligence and, engineering to gain insight into the planning and execution of cognition and memory. I aim to develop new approaches to study neural dynamics with state-of-the-art machine learning methodologies. I believe that computer science and neuroscience have reached a maturity point where they can both benefit from our research understanding of the brain.

My research currently holds the world record in footstep recognition obtaining an equal error rate of 0.7 in the largest footstep recognition database.

Before joining MIT, I have worked on machine learning research in the context of security, healthcare, indoor positioning, and cancer research.

I obtained my Ph.D. at the University of Manchester where I worked on machine learning research for gait analysis understanding in the context of security and healthcare applications.

During my Masters at the University of North Texas, I worked on indoor positioning, simultaneous localization and mapping in Robotics (SLAM) and in cancer research.

My full list of publications is in google scholar. If you are interested in my work don't hesitate to contact me at [c]@mit.edu.

You can learn more about my professional and personal endeavors on my website/twitter.

I love experimental, creative music that blends the old (Jazz, classical) with the new (electronic, ambient) in interesting and pleasant ways. Some of my favorites artists are Nils Frahm, Apparat, Skinshape, Jon Hopkins, Helios and Alaskan Tapes. I also like to combine my favorite music to tell stories.

I love running and always looking for my next marathon. I also competed in the London triathlon of 2016.

[c] = costilla