I am currently a postdoctoral researcher at MIT's Picower Institute for Learning and Memory - Brain + Cognitive Sciences department working with Prof. Earl K. Miller lab.

My research interest lies in the intersection of the fields of neuroscience, artificial intelligence and engineering to gain insight in the planning and execution of cognition and memory. I aim to develop new approaches to study brain activity with state-of-the-art machine learning methodologies.

I believe that machine learning offers the potential to understand the brain with possibilities never attained before.

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

I obtained my PhD 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.

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

I love running and always looking to run my next marathon.

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

[c] = costilla