Update: Thank you all for your interest and all your questions! While some of us might still pop in here and there to answer additional questions, the main answering period is now over. If you're interested in attending this year's Neuromatch Academy, please be sure to apply soon, as the deadline is April 20th. You can do so here. Have a good one! :)

Hey there! We are a group of scientists specializing in computational neuroscience and machine learning who, amidst the chaos of the early pandemic, founded Neuromatch Academy -- an international non-profit summer school aiming to democratize science education and help make it accessible to all. It is entirely remote, includes students and TAs from over 70 different countries, and presently includes both a Computational Neuroscience course and a Deep Learning course.

If you'd like to learn more about it, you can check out last year's Comp Neuro course contents here, last year's Deep Learning course contents here, read the paper we wrote about the original NMA here, read our Nature editorial, or the Lancet article00074-0/fulltext) about us.

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Specifically, we are:

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• Konrad Kording (/u/Konradkordingupenn):

Professor at the University of Pennsylvania and co-director of the CIFAR Learning in Machines & Brains program. Konrad's research interests include machine learning, causality, and ML/DL neuroscience applications.

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• Megan Peters:

Assistant Professor at UC Irvine, cooperating researcher at ATR Kyoto, and Accesso Academy co-founder. Megan's research interests include perception, machine learning, uncertainty, consciousness, and metacognition, and she is particularly interested in adaptive behavior and learning.

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• Brad Wyble:

Associate Professor at Penn State University. Brad's research focuses on visual attention, selective memory, and how these converge during continual learning.

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• Dan Goodman:

Senior Lecturer at Imperial College London and author of the "Brian" spiking neural network simulator. Dan is most interested in the neural computation of tasks that are complex and difficult enough to require a brain to solve them, but simple enough to be tractable, like localizing sounds or making sense of speech in noisy environments.

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• Gunnar Blohm:

Professor at Queens University and founder of the Computational Sensory Motor summer school. Gunnar's research interests revolve around the 3D properties of sensorimotor control and their role in the interaction of different motor systems -- specifically, eye-hand coordination, saccade/ smooth pursuit eye movements and the construction of 3D models of space for perception and action.

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• Sean Escola:

Assistant Professor at Columbia University and co-founder of Herophilus, a drug discovery company. Sean is most interested in motor control and how humans generate sequences of behavior.

With that said -- ask us anything about starting a summer school 6 months into a global pandemic, computational neuroscience, machine learning, ML/DL applications in the bio space, our research, science education, or Neuromatch Academy!

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(We'll be answering questions throughout the day as time permits.)

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Verification of identity on our Twitter page:
https://twitter.com/neuromatch/status/1514620027823079425