PhD in Biological Cybernetics
Final year PhD student co-advised by Dr. Jennifer Li and Dr. Drew Robson. Research focuses on neural mechanisms underlying internal states, specifically investigating neural substrates responsible for maintaining and triggering substates of zebrafish quiescence. Combining advanced imaging techniques, computational modeling, and behavioral analysis to understand state dynamics in neural circuits.
Research Focus
Neural Mechanisms of Internal States: Understanding how the brain maintains and transitions between different behavioral states, with a particular focus on quiescence in zebrafish models. Investigating the computational principles underlying state encoding, maintenance, and transitions using whole-brain imaging and optogenetic manipulation.
Technical Skills
Programming Languages: Python, MATLAB, Julia, C, C++, Rust, R, Java, JavaScript, HTML
Computational & Data Science: Machine learning, data science, network analysis, dynamical systems modeling, statistical analysis, signal processing, time-series analysis, data visualization, MySQL
Experimental Techniques: Two-photon calcium imaging, light-sheet microscopy, optogenetics, behavioral tracking, neural data acquisition, electrophysiology, fMRI, laboratory skills
Software & Tools: ImageJ/Fiji, DeepLabCut, MATLAB, Python toolboxes, Git, Blender, LabView, ZeroMQ, Arduino IDE, SolidWorks, Amira, Pymol, Oncomine, Microsoft Office, PowerPoint, computational neuroscience toolboxes
Domains: Neuroscience, biology, research, programming
Operating Systems: Linux, Windows, Mac
Research Interests
Computational neuroscience, neural circuits, behavioral states, systems biology, control theory applications to neural systems, whole-brain imaging, state-dependent neural activity, zebrafish neuroscience
Affiliations
Max Planck Institute for Biological Cybernetics
Department of Neural Circuits and Behavior
Tübingen, Germany
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