About

Prabhat Shankar is a Senior R&D Engineer at IA Digital, ABB, with a strong background in computational biology, data analysis, and machine learning. He is currently focused on bringing digital solutions to industrial automation and predictive maintenance using machine learning algorithms and predictive data analytics. Prabhat has a PhD in computational biology and an Electrical Engineering degree from IIT Kharagpur. Before joining ABB, Prabhat worked as a Research Scientist at the RIKEN Quantitative Biology Center, where he analyzed data obtained from Pluripotent stem cells and modeled them to infer meaningful insights about their functioning. His other work has included the study of dynamical and stochastic systems. At ABB, he has worked in the Robotics and Motion department, where he was part of the machine learning group that brought insight to the data using statistical analysis and predictive modeling tools. Prabhat's educational background and experience have equipped him with the technical skills necessary for his work. He has 8.87 years of relevant experience and is proficient in research, data analysis, and machine learning. Prabhat is passionate about the field of mathematical modeling, data analysis, and machine learning. He is a quick learner, an excellent communicator, and a team player. Prabhat's current work at ABB is focused on Industry 4.0, where he is bringing digitization and automation to industries. His expertise in machine learning and data analysis enables him to develop innovative solutions that help businesses make data-driven decisions. Prabhat's professional experience and educational background make him a valuable asset to any team working in the field of computational biology and data analytics.