Pavel Popov is a PhD candidate in computer science and a Graduate Research Assistant at the TReNDS Center in Atlanta, focusing on machine learning applications in neuroimaging and data-driven neuroscience. With a decade of research experience bridging condensed matter physics and spintronics, he brings a strong quantitative foundation and experimental intuition to computational problems. His prior work at the Institute of Radioengineering and Electronics RAS studied magnetization dynamics in anti- and ferromagnetic materials, giving him a unique perspective on complex, physics-informed modeling. Based in Atlanta, he combines interdisciplinary training from MIPT (MФТИ) and Georgia State University to translate domain expertise into ML solutions for translational research. Colleagues value his ability to move between lab-scale experimentation and scalable analytic methods, often uncovering nonobvious physical constraints that improve model fidelity.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Condensed matter physics, Master's degree, Condensed matter physics at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Georgia State University
Contributions:26 commits, 23 pushes, 1 branch in 3 months
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