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• Ph.D. in Vision Science (Neuroscience field)• 15+ years research experience applying statistical and machine learning methods to analyze neural and behavioral data• Demonstrated productivity in research, with 13 peer-reviewed, including 9 as the first author publications• Skilled in various methodologies, including electrophysiology, computational modeling, optical imaging, human psychophysics• Proficiency in programming languages - Python, Matlab, SQL• Strong understanding of the anatomy and physiology of the visual system • Experienced in mentoring and supervising undergraduate and graduate students in both laboratory and classroom settings
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Research ScientistUniversity Of WashingtonSeattle, Wa, Us
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Acting Assistant ProfessorUniversity Of Washington Jan 2023 - PresentSeattle, Washington, United States• Studying how prefrontal cortex modulates feature selectivity in visual cortex through inhibitory feedback• Conducting multi-photon imaging and high-density electrophysiology experiments in anesthetized macaque visual cortex to characterize functional architecture• Investigating the neural mechanisms of visual crowding in the behaving non-human primate• Training graduate students and post-docs on experimental design, data analysis, and programming (Matlab, Python)
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Acting InstructorUniversity Of Washington Oct 2019 - PresentSeattle, Wa• Investigated how object feature processing of visual neurons are impaired by visual distractors using electrophysiology and convolutional neural networks (published in J. Neurosci., 2024)• Mentored graduate students and research assistants on experimental design, data analysis (object segmentation, global motion processing), and programming (Matlab, Python)• Studied visual texture processing in the visual cortex using electrophysiology and machine learning (e.g., stepwise linear regression, support vector machine), finding that distinct texture sensations are associated with different temporal dynamics (published in J. Neurosci., 2022)• Wrote two review papers on the topic of visual information processing in the ventral visual pathway (published in Annu. Rev. Vis. Sci., 2020; Curr. Opin. Neurobiol., 2019)
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Senior FellowUniversity Of Washington Oct 2015 - Sep 2019Seattle, Wa• Devised metrics to quantify the degree of perceptual texture dimensions. Studied how object shape and texture properties are jointly processed in the visual cortex using electrophysiology / computational modeling (e.g., hierarchical max-pooling model), finding that there are separate specializations in mid-level cortical processing for visual attributes of shape and texture (published in J. Neurosci, 2019).• Advised and collaborated on a research project investigating neural correlates of global motion processing in the non-human primate visual cortex (submitted)
Taekjun Kim Skills
Taekjun Kim Education Details
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Vision Science/Physiological Optics -
Biological Psychology -
Psychology
Frequently Asked Questions about Taekjun Kim
What company does Taekjun Kim work for?
Taekjun Kim works for University Of Washington
What is Taekjun Kim's role at the current company?
Taekjun Kim's current role is Research Scientist.
What is Taekjun Kim's email address?
Taekjun Kim's email address is tkim@uw.edu
What schools did Taekjun Kim attend?
Taekjun Kim attended University Of California, Berkeley, Seoul National University, Seoul National University.
What skills is Taekjun Kim known for?
Taekjun Kim has skills like Matlab.
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TaekJun Kim
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