Ruslan Dautov is a highly skilled expert in the field of high-performance computing, machine learning, and big data. He holds a Doctor of Philosophy degree in Computer Science from Shenzhen University, a Master's degree in Applied Mathematics and Computer Science from the National Research Nuclear University, and a Bachelor's degree in Mechanical Engineering from Kazan State University. His extensive background in these subjects is exemplified by his work as a Research Assistant at the Big Data Institute of Shenzhen University and as a Research Assistant at the Russian Federal Nuclear Center RFNC-VNIIEF. Dautov is also the founder of the HPCD Lab, and has authored a book about OpenMP.

At heart, Dautov is passionate about exploring the uncharted territories of HPC, machine learning, and big data, and pushing the limits of what's possible in these fields. His work and research span the gamut of topics from the fundamental theories behind these fields to the practical applications of these skills in the development of cutting-edge tools and systems. Through his academic and professional career, Dautov has proven himself to be a highly driven and dedicated individual, with a deep commitment to excellence in his work.