Prashant Singh
Prashant is an Assistant Professor, Docent at the Division of Scientific Computing, Department 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.
Postdoctoral Researcher
Andrey Shternshis
Andrey joined the group in October 2023 as a postdoctoral researcher. His current research explores fairness-aware statistical experiments and machine learning. His research interest also spans quatitative finance, in particular statistical methods in finance and predictability analysis. Andrey received his PhD in the program “Computational methods and Mathematical Models for Sciences and Finance” in September 2023 from Scuola Normale Superiore (SNS), Pisa, Italy. Andrey received a master’s degree in 2019, and a bachelor’s degree in 2016 at the Novosibirsk State University in the program of applied mathematics and computer science. Publications: scholar.google.com/citations?user=3grli6AAAAAJ
PhD Students
Li Ju
Li joined the group in August 2021 as a PhD student. Li holds Masters degrees in Computational Science from Uppsala University, and in Chemometrics (with honors) from University of Science and Technology of China. His research interests span distributed learning and optimization. Li is supervised jointly with Andreas Hellander and Salman Toor.
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.
Dhanushki Mapitigama
Dhanushki joined the group in September 2024 as a PhD student. Dhanushki holds a Masters degree in Data Science from Uppsala University, Sweden. Her doctoral project explores Bayesian active learning approaches for drug discovery and repurposing. She is generally interested in Bayesian machine learning and optimization.
Csongor Horváth
Csongor joined the group in September 2024 as a PhD student. Csongor holds a Masters degree in Computational Science from Uppsala University, Sweden. His doctoral work focusses on various aspects of solving ill-posed inverse problems, and in general non-convex optimization. He is also interested in deep learning, graph theory and the intersection of machine learning and optimization.
Visiting Students
Shaylyn Govender
Emily Morgan is a PhD student in Bioinformatics at Rhodes University, supervised by Prof. Özlem Tastan-Bishop. Shaylyn’s focus is on computational biology, particularly molecular dynamics simulations, dynamic residue network analysis, and machine learning methods for studying viral proteins.
Kristiana Stefa
Kristiana is a Master’s student in Data Science at the IT University of Copenhagen, Denmark. Kristiana’s graduate project is in collaboration with Prof. Ida-Maria Sintorn, and explores uncertainty quantification in large-scale generative models.
Stela Arranz Gheorghe
Stela is a Master’s student in Data Science at the IT University of Copenhagen, Denmark. Stela’s graduate project is in collaboration with Prof. Ida-Maria Sintorn, and explores robust guided attention.
Graduate Students
Adam Rokah
Adam is pursuing his Masters degree in Data Science at Uppsala University. He is exploring robust learning, and federated expert models in separate research projects.
YOU!
We always look forward to hearing from talented and motivated future colleagues at all levels – Masters/PhD/PostDoc.
Alumni
- Max Andersson, 2025, MSc Engineering Physics, now visiting CERN
- Stina Fredriksson, 2025, MSc Engineering Physics, now at Vattenfall
- Edward Glöckner, 2025, MSc Engineering Physics, now at Mycronic
- Viktor Bergstedt, 2025, MSc Computational Science, Thesis: Simulating Complex Particle Dynamics with Graph Neural Networks
- Oliver Cronsten, 2025, MSc Computer Science, Thesis: ‘Uncertainty Quantification in Simulation-Based Inference using Deep Generative Models‘
- Alessia Rossi, 2025, MSc Biomedical Engineering (Erasmus visitor, University Campus Bio-Medico of Rome)
- Alexandre Jerez and Ismaël Bejaoui, 2025, (Erasmus visitors from Aix-Marseille University, France)
- Emily Morgan, 2024, Visiting PhD Student from Prof. Ozlem Bishop’s group
- Ema Duljkovic, 2023, MSc Data Science, now R&D intern at Ericsson.
- Mina Badri, 2023, MSc Data Science, Data Science intern at Volvo Cars.
- Liang Cheng; 2023, MSc Data Science, Thesis: ‘Autoencoder-Based Likelihood-Free Parameter Inference of Gene Regulatory Network‘, now Doctoral Student at University of Oslo
- Ansar Siddiqui; 2023, BSc Computer Science, Thesis: ‘Parameter Inference for Stochastic Models of Gene Expression in Eukaryotic Cells‘, now Cloud Developer at Scania
- Max Andersson, Carl Löfkvist, Edward Glöckner; 2023, BSc Engineering Physics, Thesis: ‘Dark Matter signals at the Large Hadron Collider with Deep Learning‘
- Mona Babikir; 2019, MSc Computer Science, Thesis: ‘Machine Learning for Cloud: Modeling Cluster Health using Usage Parameters‘, now Software Engineer at Tink AB
- Iliam Barkino; 2019, MSc Engineering Physics, Thesis: ‘Summary Statistic Selection with Reinforcement Learning‘, now Deep Tech VC at Industrifonden
- Mattias Åkesson; 2018, MSc Engineering Physics, Thesis: ‘Learning Phantom Dose Distribution using Regression Artificial Neural Networks‘, now Senior Federated Learning Engineer at Scaleout Systems AB
email: firstname.lastname@it.uu.se
visiting address: Lägerhyddsvägen 1, Hus 10, 752 37 Uppsala