Vadim holds a PhD in computational biophysics on the free energy and stability of helical secondary structures of proteins. He is co-author of the book, “Parallel Programming and Optimization with Intel® Xeon Phi™ Coprocessors”, and was lead instructor of a developer training course of the same name. Before joining Microsoft, Vadim was working at Intel Corporation as a Machine Learning/Deep Learning/AI and Modern Code (aka Parallel programming and Optimization) Technical Evangelist. His research interests are in the areas of physical modeling with HPC clusters, highly parallel architectures, code optimization; machine learning and AI.
Vadim Karpusenko's Course
A Practical Guide to Machine Learning with TensorFlow 2.0 & KerasLearn Machine Learning, Deep Learning, and AI through hands-on examples of image categorization, image manipulation, and text analytics.