Dr. Alexander Lukyanov received his PhD in Applied Mathematics (TU Delft, The Netherlands), and PhD in Applied Physics (Tula State University, Russia), MSc in Mechanics and Applied Mathematics, MSc in Computer Science (M.V. Lomonosov Moscow State University, Russia) and is a member of professional bodies (ASME, SIAM). Dr. Lukyanov has extensive experience over 10 years in developing commercial multiphysics simulators with the focus on linear and non-linear solvers, linear algebra, machine learning, and numerical methods for ordinary and partial differential equations. Dr. Lukyanov was a Research Fellow from Sep 2017 till June 2020 at Kirschner’s Lab, Department of System Biology, Harvard Medical School where he developed simulation and machine learning tools for multidisciplinary problems in computational biology, bioinformatics, and computational drug design. His current scientific interests focus on the development of cross-functional bioinformatics, data analysis tools, and applied system pharmacology methods to enable the evolving science within Single Cell Analysis. Dr. Lukyanov focuses on digitizing lab experiments utilizing synergy between laboratory machines and software systems leveraging artificial intelligence and machine learning methods for advanced design. He is the author of over 75 (in Russian and English) publications in computational biology, bioinformatics, continuum mechanics, damage mechanics, plasticity theory, shock wave physics, irreversible thermodynamics, numerical methods, and quantum mechanics.