Li Ju
PhD Student
Federated ML, Optimisation, Semi-Supervised ML
Aleksandr
Karakulev
PhD Student
Design of Experiments, Bayesian ML, Optimisation, Drug Discovery
Dhanushki Mapitigama
PhD Student
Bayesian ML, Active Learning, Drug Discovery
Csongor Horváth
PhD Student
Optimization, Inverse Problems, Deep Learning
Sourasekhar
Banerjee
AFFILIATED POSTDOC
Federated ML, Cybersecurity, Optimization
Current Members
Students
- Alessia Rossi, Visiting MSc Thesis from Italy – Multi-Objective Optimization
- Isnmaël Bejaoui, Visiting Erasmus from France – Graph Neural Networks
- Alexandre Jerez, Visiting Erasmus from France – Simulation-Based Inference
- Adam Rokah, Summer Project
- Zhiping Hu, Project Course Student
Former Members
Postdoctoral Researchers
- Xiaobo Zhao, PostDoc, 2023 – now PostDoc at Aarhus University
- Ben Blamey, PostDoc, 2023 – now Senior Lecturer at Malmö University
- Sadi Alawadi, PostDoc, 2022 – now Assistant Professor at Halmstad University
- Addi Ait-Mlouk, PostDoc, 2022 – now Associate Professor at University of Skövde
PhD Students
- Tianru Zhang, PhD, 2025 – now PostDoc at Uppsala University, Division of System Control
Intelligent Data Management via Machine Learning: From Storage Hierarchy to Information Hierarchy - Camille Clouard, PhD, 2024 – now Bioinformatician at SciLifeLab
A computational and statistical framework for cost-effective genotyping combining pooling and imputation - Kristiina Ausmees, PhD, 2022 – now Data Scientist at Handelsbanken
Methodology and Infrastructure for Statistical Computing in Genomics: Applications for Ancient DNA - Sonja Mathias, PhD, 2022 – now Systems Developer at SciLifeLab
Robust and Efficient Cell-Based Models of Tissue Mechanics - Adrien Coulier, PhD, 2022 – now Systems Developer at SciLifeLab
Multiscale Modeling in Systems Biology: Methods and Perspectives - Fredrik Wrede, PhD, 2021 – now Head of Engineering at Scaleout Systems AB
Large-scale simulation-based experiments with stochastic models using machine learning-assisted approaches: Applications in systems biology using Markov jump processes
MSc Students
- Viktor Bergstedt, MSc Thesis, 2025
- Linjing Shen, MSc Thesis, 2025
Oversampling Longitudinal Compositional Data for Classification of Microbiome Samples - Oliver Cronsten, MSc Thesis, 2025
Uncertainty Quantification in Simulation-Based Inference Using Deep Generative Models - Chenglong Li, MSc Thesis, 2025
Mitigating Representation Bias in Extremely Imbalanced Dataset via Batch-aware Modulated Generative Adversarial Network - Mina Badri, MSc Thesis, 2024
Machine Learning Driven Candidate Compound Generation for Repurposing Drugs: Enhancing Drug Synergy Predictions Through Machine Learning and Bayesian Neural Networks - Csongor Horváth, MSc Thesis, 2024
Studying Solution Quality for Ill-Posed Optimization Problems - Dinindu Seneviratne, MSc Thesis, 2024
Impact Evaluation of Poisoning Attacks in Federated Learning Scenarios - Atefeh Aramian, MSc Thesis, 2024
Managing Feature Diversity: Evaluating Global Model Reliability in Federated Learning for Intrusion Detection Systems in IoT - Naser Shabani, MSc Thesis, 2024
Harnessing Federated Learning for LLM Fine-Tuning: A Distributed Approach - Liang Cheng, MSc Thesis, 2023 – now Doctoral Student at University of Oslo
Autoencoder-Based Likelihood-Free Parameter Inference of Gene Regulatory Network - Jonas Frankemölle, MSc Thesis, 2023 – now Research Engineer at CDHU, UU
Federated Self-supervised Learning in Computer Vision - Junjie Chu, MSc Thesis, 2022 – now PhD Student at Helmholtz Center for Information Security, Germany
Efficient Resource Scheduling for Distributed Infrastructures using Negotiation Capabilitie - Mona Babikir, MSc Thesis, 2019 – now Software Engineer at Tink AB
Machine Learning for Cloud: Modeling Cluster Health using Usage Parameters - Iliam Barkino, MSc Thesis, 2019 – now Deep Tech VC at Industrifonden
Summary Statistic Selection with Reinforcement Learning - Mattias Åkesson, MSc Thesis, 2018 – now Federated Machine Learning Data Scientist at Scaleout Systems AB
Learning Phantom Dose Distribution using Regression Artificial Neural Networks
BSc Students
- Ansar Siddiqui, BSc Thesis, 2023 – now Cloud Developer at Scania
Parameter Inference for Stochastic Models of Gene Expression in Eukaryotic Cells - Edward Glöckner, BSc Thesis, 2023
- Max Andersson, BSc Thesis, 2023
- Carl Löfkvist, BSc Thesis, 2023
Dark Matter Signals at the Large Hadron Collider with Deep Learning