Dr. Rinat Sergeev is Data Scientist & Chief Scientific Advisor at the Harvard-NASA Tournament Lab (NTL). Rinat works as a lead science and technical expert on exploring and utilizing crowdsourcing approaches in application to the Big Data challenges, faced by NASA and Government. In his role, Rinat provides full guidance and support on the way of the project from learning the area and formulating the problem, to resolving all the issues on the way of execution, working closely with all the parties involved. Rinat received his PhD in Physics of Semiconductors in Ioffe Institute, Saint Petersburg. Following his innate curiosity, he pursued challenges in a variety of academic fields, from Quantum-Mechanical Processes to Immunology and Epidemiology. His research interests include conceptual analysis, analytical approaches and models in multiple areas. Currently, Rinat is a growing specialist of machine-learning algorithms and algorithmic challenges. His personal interests include Math puzzles, strategic games and politics.