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Sergey Plis

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As an associate professor of computer science and a director of machine learning at the Center for Translational Research in Neuroimaging & Data Science, I like to keep things busy. Probably for that reason, I have three kids, two cats and a dog, I travel often, moved a few times recently, and have painted rooms and houses everywhere I go :) My research focuses on developing computational instruments that enable knowledge extraction from observational multimodal data collected at different temporal and spatial scales. I believe we can provide the neuroimaging community with a more robust, reliable understanding of directed connectivity in the brain. We can’t just poke around in alive human brain to see how it works :) I and my collaborators are honored to have received $1.3 million from the National Science Foundation and the National Institutes of Health (NIH), to study causal connections in the brain. Here are only a few of my other accomplishments: - Published one of the first demonstrations of the versatile potential of deep learning methods for the field in 2013 and since then my group developed a number of deep learning approaches to neuroimaging. - Developed the theories in complex time series including a number of algorithms creating a new subarea in causal research. - Developed efficient algorithms for matrix factorization. - Enabled research on federated datasets with a focus on preserving privacy, inspiring a project for creating a framework to enable research on decentralized data. If you are as passionate about the mentioned above as I am, feel free to drop me a message here on LI.

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