Research group:

I recently joined Uppsala University as Assistant Professor and I am expanding my group. We work on machine learning, signal processing and automatic control. Developing basic theory and creating new applications in medicine.

• Postdoc (co-supervisor): Petrus Abreu. Automatic ECG analysis and telehealth
• Ph.D. (main supervisor): Jiawei Li. Foundation models for electrocardiography
• Ph.D. (main supervisor): David Väviggreen. Robust methods for unsupervised machine learning
• M.Sc. (supervisor): Wenhan Zhou. Conformal prediction for automatic electrocardiogram analysis

Alumni:

• Ph.D. (co-supervisor): Daniel Gedon. On Deep Learning for Low Dimensional Representations (June 2024).
• M.Sc. (supervisor): Arvid Eriksson. Adversarial training for the diagnosis of the ECG (June 2024).
• M.Sc. (supervisor): Oscar Larsson. Generation and Detection of Adversarial Attacks in the Power Grid (July 2022).
• M.Sc. (supervisor): Theogene Habineza. Deep Learning-Based Risk Prediction of Atrial Fibrillation Using the 12-lead ECG (June 2022).
• M.Sc. (subject reviewer): Johan Millberg. Evaluating clusters of financial time series (June 2023).
• M.Sc. (subject reviewer): Christie Courtnage. An extension to Semi-Supervised Learning using Shapley Value Data Valuation (June 2022).
• M.Sc. (subject reviewer): Meenal Pathak. Automated Accounting using Machine Learning (Apr. 2022).

Updates from students