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Alex Kell

Headshot of Alex Kell
Program Years:
2014–2018
University:
Massachusetts Institute of Technology
Field of Study:
Computational Neuroscience
Advisor:
Josh McDermott
Degree(s):
A.B. Neuroscience, Dartmouth College, 2010
Ph.D. Neuroscience, MIT, 2019

Practicum Experience(s)

Lawrence Berkeley National Laboratory (2017)

Practicum Supervisor(s):
Kristofer
Bouchard
Practicum Title:
Exploring methods to compress deep neural networks using union of intersections

Current Status

Status:
Head of AI + Eng at Stealth Startup
Research Area:
Computational Neuroscience
Personal URL:
https://www.linkedin.com/in/alexanderkell/

Annual Program Review Abstracts

Fellow Presentation
: Invariant and Hierarchical Computation in Human Auditory Cortex (
2018
)
Fellow Poster
: Robustness to Real-world Background Noise Increases Between Primary and Non-primary Human Auditory Cortex (
2017
)
Fellow Poster
: Noise-robustness of Cortical Responses to Natural Sounds Increases from Primary to Non-primary Auditory Cortex (
2016
)
Fellow Poster
: Computational Similarities Between Visual and Auditory Cortex Studied With Convolutional Neural Networks and Functional MRI (
2015
)