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Prashant Singh is an Assistant Professor at Uppsala University, specializing in Scientific Computing within the Department of Information Technology. He is a fellow at the Science Life Laboratory (SciLifeLab) and has extensive research interests in developing machine learning optimization methods for effective analysis of scientific data, specifically in the life sciences domain. Prior to joining Uppsala University, he served as an Assistant Professor in the Department of Computing Science at Umeå University, and conducted postdoctoral research focusing on machine learning statistical sampling methods applicable to computational biology from 2017 to 2020. Singh holds a PhD in Computer Science Engineering from Ghent University, Belgium, earned in 2016, where he specialized in model-based optimization and active learning. He also completed his MSc in Computer Science from the University of Delhi, India, in 2011, focusing on data mining and supervised machine learning. His research agenda emphasizes the development of efficient methodologies for data-scarce and computationally intensive challenges, particularly in constrained multi-objective optimization, surrogate modeling, parameter inference, inverse modeling, and related topics.
General Master's requirements applying across Science, Technology, and Humanities departments.