Salvador Bernal
Associate Professor
New York, New York, United States
Summary
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Senior🎓
Top SchoolSalvador Bernal is an associate professor and computational neuroscientist with 12+ years of experience leading research on neural coding, cortical microcircuits, and perception, and over 20 peer-reviewed publications. He has been PI/co-PI on multiple grants and won the 2019 Furchgott Scholar Award for research excellence, reflecting a strong record of funded, high-impact science. Salvador develops Bayesian inference and convolutional network models for vision and audition and built a widely adopted brain-circuit modeling tool used by 30+ labs. He has scaled large simulations on Google Cloud supercomputers—presenting at Google Next—and bridges academic rigor with practical software engineering to enable reproducible neuroscience. Based in New York, he directs the Global Center for AI in Mental Health and holds a PhD in Computational Neuroscience, pairing deep domain expertise with interdisciplinary training in psychology and telecommunications. An understated strength is his track record of translating complex models into accessible tools that accelerate research across labs.
11 years of coding experience
14 years of employment as a software developer
Ph.D. degree, Computational Neuroscience, Ph.D. degree, Computational Neuroscience at University of Plymouth (UK)equivalent to BSc and MSc degree, Psychology, equivalent to BSc and MSc degree, Psychology at Universidad Nacional de Educación a Distancia - U.N.E.D.equivalent to BSc and MSc, Telecommunication Engineering, equivalent to BSc and MSc, Telecommunication Engineering at Universidad de Las Palmas de Gran Canaria
Github Skills (73)
simulation-modeling10
parallel10
computational-neuroscience10
python10
connectivity10
optimization10
alpha10
electrophysiology10
hpc-applications10
neuroscience10
circuit10
ancestry10
simulation10
docking10
gamma10
Programming languages (12)
Github contributions (5)
suny-downstate-medical-center/netpyne
Jun 2014 - Dec 2022
A Python package to facilitate the development, parallel simulation, optimization and analysis of multiscale biological neuronal networks in NEURON.
Contributions:34 releases, 13 reviews, 2821 commits in 8 years 7 months
neurosciencepythonparallelmultiscaleoptimization
Neurosim-lab/netpyne_workspace
May 2018 - Jun 2021
Contributions:89 commits, 2 PRs, 78 pushes in 3 years 2 months
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