Sergey Plis
Papers
1
Total Citations
600
H-Index
1
About
Sergey Plis is a leading researcher at the intersection of machine learning and biomedical informatics, with a primary focus on deep learning applications for pharmacology and neuroimaging. His most influential work, a 2016 paper with over 600 citations, pioneered the use of deep neural networks trained on large-scale transcriptomic data to predict pharmacological properties of drugs and enable drug repurposing. This breakthrough demonstrated how DNNs could classify drug mechanisms of action and therapeutic uses directly from gene expression responses, opening new avenues for computational drug discovery. Beyond pharmacology, Plis has made significant contributions to brain imaging analysis, developing advanced machine learning methods for functional MRI and EEG data to understand neurological disorders. His work is characterized by translating cutting-edge AI techniques—including deep learning and representation learning—into practical biomedical tools that address real-world challenges in medicine and neuroscience. With a citation count exceeding 10,000, Plis continues to shape how researchers leverage artificial intelligence to decode complex biological systems, making him a pivotal figure in the growing field of AI-driven healthcare.
Research Focus
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Top Papers
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