Jes Frellsen

Jes Frellsen is an Associate Professor at the Department of Applied Mathematics and Computer Science (DTU) since 2016. Previously, he held academic positions at the IT University of Copenhagen (2016-2019), postdoctoral roles at University of Cambridge (2013-2016) and University of Copenhagen (2011-2013).

Education:

• PhD in Bioinformatics (2011), University of Copenhagen
• MSc in Bioinformatics (2007), University of Copenhagen
• BSc in Mathematics and Computer Science (2005), University of Copenhagen
• EAP Exchange at University of California, Santa Cruz (2004-2005)

Research Focus
Jes Frellsen specializes in statistical machine learning, particularly generative AI and deep generative models with applications in bioinformatics. His work integrates Bayesian inference, directional statistics, and Markov chain Monte Carlo methods to address challenges in macromolecular structure prediction and missing data imputation. Recent efforts explore uncertainty quantification in image segmentation and generative modeling for materials science.

Advising & Collaborations
He actively supervises PhD students and postdoctoral researchers in projects spanning news recommendation systems, medical imaging, and 3D structure generation. Collaborations include work with Zoubin Ghahramani (Cambridge) and Thomas Hamelryck (Copenhagen), with contributions to protein structure prediction and statistical methods in structural bioinformatics.