Prashant Singh
Assistant Professor at Uppsala University
Uppsala, Sweden
Summary
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Senior🎓
Top SchoolPrashant Singh is an Assistant Professor at Uppsala University with eight years of experience spanning academic research and industrial machine learning roles. His work focuses on data-driven science—particularly data-efficient learning, global optimization and inverse problems—bridging computational science, ML/AI and optimization. He completed a PhD at Ghent University where he developed surrogate modeling, sequential sampling and model-based optimization methods, and has transitioned those competencies into both postdoctoral and industry settings as a senior ML scientist. Based in Uppsala, Sweden, he combines rigorous theoretical grounding with practical experience delivering ML solutions in product contexts, and is known for emphasizing sample-efficient approaches that reduce reliance on large datasets.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science Engineering, Doctor of Philosophy (Ph.D.), Computer Science Engineering at Ghent UniversityUniversity of Delhi
Hindi, English, German, Dutch, Swedish
Github Skills (20)
keras-tensorflow10
optimization9
systems-biology8
python8
sbml8
federated-learning8
inference8
simulation7
pytorch7
agent-based-modeling7
machine-learning7
tensorflow7
scikit-learn7
deep-learning7
scalable7
Programming languages (3)
Github contributions (5)
prasi372/fedn
Apr 2021 - Sep 2021
Scalable federated learning framework
Contributions:3 pushes in 4 months
pytorchscalablefederated-learning-frameworkmachine-learningdistributed-computing
prasi372/GillesPy2
Oct 2018 - Oct 2018
Contributions:2 pushes in 1 day
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