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Prashant Singh

Prashant Singh

Prashant is an Assistant Professor at the Division of Scientific ComputingDepartment of Information Technology, Uppsala University and a SciLifeLab fellow. His research interests broadly span non-convex optimization, data-efficient learning, statistical sampling/design of experiments, and inverse problems, particularly within the life sciences domain.


Aleksandr Karakulev

Aleksandr joined the group in August 2022 as a PhD student. Aleksandr holds Masters and Bachelor degrees in Applied Mathematics and Physics from the Moscow Institute of Physics and Technology (MIPT). His doctoral research explores novel statistical design of experiments for drug repurposing. His research interests also include inverse problems and optimization. 

Mayank Nautiyal

Mayank joined the group in September 2022 as a PhD student. Mayank holds a Masters degree in Signal Processing from the Indian Institute of Technology (IIT) Gandhinagar, India. Mayank is working in the area of likelihood-free parameter inference of stochastic models. His prior research addressed inverse problems in distributed sensor networks.


Liang Cheng

Liang is pursuing his Masters degree in Data Science at Uppsala University. His thesis project explores variational autoencoders for learning inverse mappings of time-varying models.

Ansar Siddiqui

Ansar is pursuing his Bachelors degree in Computer Science at Uppsala University. His thesis project studies the design of a scalable simulation-based inference pipeline for models of gene expression.


visiting address: Lägerhyddsvägen 1, Hus 10, 752 37 Uppsala