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 at the Massachusetts Institute of Technology (MIT).
My research interest lies in building data-driven models from large-scale neural recordings to gain insight into cognition and memory. I aim to develop new approaches to study neural dynamics with state-of-the-art machine learning methodologies.
My research currently holds the world record in footstep recognition obtaining an equal error rate of 0.7 in the largest footstep recognition database.
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.
For my master’s degree thesis, 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.
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 tell stories with music.
[c] = costilla