Ulises Obilinovic
Scientist at Allen Institute for Neural Dynamics
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolUlises Obilinovic is a theoretical neuroscientist and Scientist at the Allen Institute for Neural Dynamics with 11 years of experience building data-driven, mechanistic models that connect large-scale multimodal neural recordings to behavior. Trained in physics and statistics (PhD, University of Chicago; MSc/BSc, Universidad de Chile), he blends tools from statistical physics, dynamical systems, and machine learning to produce biologically constrained models of decision-making, memory, and large-scale brain dynamics. His work couples theoretical modeling with experimental collaboration to derive testable, low-dimensional explanations for high-dimensional neural activity rather than merely predictive black-box models. Previously a Swartz Fellow in Theoretical Neuroscience at NYU, he is notable for translating sophisticated mathematical frameworks into interpretable hypotheses that guide experiments. Based in Seattle, he brings a rare mix of quantitative rigor and experimental sensibility to systems neuroscience.
11 years of coding experience
Master's degree, Physics, Master's degree, Physics at Universidad de ChileDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of Chicago
Github Skills (7)
bioinformatics5
python3
science3
data-science2
neuroimaging2
ingest2
neuroscience2
Programming languages (1)
Github contributions (5)
ulisespereira/sequences-attractors-M2
Nov 2019 - Oct 2020
Contributions:15 commits, 1 push in 10 months
ulisespereira/Unsupervised
Dec 2015 - Dec 2019
Contributions:89 pushes, 1 branch in 4 years 1 month
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