Leyla Isik
Assistant Professor at The Johns Hopkins University
Cambridge, Massachusetts, United States
Summary
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Senior🎓
Top SchoolLeyla Isik is an Assistant Professor and computational neuroscience researcher with 11 years of experience studying human visual perception and invariant object recognition. Trained at MIT and now based in Cambridge, she blends machine learning, magnetoencephalography (MEG), computational modeling, and psychophysics to probe how brains represent visual objects. Her academic path spans a PhD and postdoc at MIT followed by faculty research at Johns Hopkins, reflecting a strong interdisciplinary foundation in bioengineering and computational methods. Leyla runs the Isik Lab, where translational questions about neural coding meet data-driven model building, and she is known for integrating high-temporal-resolution neural data with modern ML models. Beyond typical lab work, she brings a rare combination of experimental expertise and computational rigor that enables tight model–data comparisons.
11 years of coding experience
4 years of employment as a software developer
Massachusetts Institute of TechnologyJohns Hopkins UniversityGithub contributions (5)
lisik/meg_decoding
Jan 2015 - Jan 2019
Contributions:43 commits, 29 pushes, 2 branches in 4 years
lisik/tools
Jun 2018 - Jul 2020
Contributions:15 pushes, 1 branch in 2 years 1 month
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