Aramis Tanelus is a PhD student and researcher blending nearly a decade of software engineering experience with deep learning applied to auditory and social neuroscience. He has driven computational projects at institutions including the Simons Foundation, Flatiron Institute, and NYU CNS, developing sound-source localization tools for naturalistic animal studies. His background in robotics gives him a practical, systems-oriented lens for designing experiments and deploying ML models in real-world audio settings. Based in New York, he focuses on leveraging advanced audio-domain deep learning to improve experimental rigor and ecological validity in neuroscience, and is actively seeking collaborative projects that push interdisciplinary boundaries.
9 years of coding experience
2 years of employment as a software developer
Undergraduate, Neuroscience, Undergraduate, Neuroscience at New York University
Software for acquiring data from the gerbils' environment and controlling various aspects of the enclosure
Contributions:1 release, 2 PRs, 46 pushes in 2 years 11 months
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Aramis Tanelus - PHD Student at NYU Center for Data Science