Department of Information Technology

Prashant Singh

Postdoctoral position at Department of Information Technology, Division of Scientific Computing

+4618-471 2976
Visiting address:
Room POL 2439 ITC, Lägerhyddsvägen 2, hus 2
752 37 UPPSALA
Postal address:
Box 337
751 05 UPPSALA

Short presentation

Prashant Singh is a postdoctoral researcher at the Division of Scientific Computing, Department of Computer Science, Uppsala University. His current research involves developing machine learning and optimization methods to enable fast, data-efficient analysis and processing of scientific data, particularly in the domain of systems biology.

Keywords: scientific computing systems biology machine learning optimization active learning bayesian inference surrogate models

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Prashant Singh obtained the degree of PhD in Computer Science Engineering from Ghent University, Belgium in May 2016, where he specialized in model-based optimization and active learning. Prashant received his MSc degree in Computer Science from the University of Delhi, India in 2011, with specialization in data mining and supervised machine learning.


Prashant's research interests broadly span optimization and machine learning. He is particularly interested in developing efficient methods for data-scarce or computationally expensive problems. Some related topics include constrained multi-objective optimization, surrogate modeling, parameter inference, inverse modeling, active learning, sequential sampling, design of experiments, etc.


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