Joakim Andén

Joakim Andén is an Associate Professor in the Department of Mathematics at KTH Royal Institute of Technology and a Visiting Scholar at the Flatiron Institute's Center for Computational Mathematics, where he has been active since 2017 after initially joining the Center for Computational Biology. His work centers on developing computational methodologies for biological data analysis with specialized focus on cryo-electron microscopy applications.

His educational trajectory includes:

• Ph.D. from École Polytechnique, France
• Postdoctoral research associate in the Program in Applied and Computational Mathematics at Princeton University

Research expertise spans interdisciplinary domains requiring advanced algorithmic solutions:

• Numerical Analysis for efficient computation
• Machine Learning for pattern recognition in complex datasets
• Image and Signal Processing techniques adapted to biological imaging
• Computational Biology frameworks for structural analysis

No scientific awards were documented in the source material.

Details regarding student supervision or research funding mechanisms remain unreported in the available text.

He actively contributes to the Numerical Algorithms group within the Flatiron Institute's Center for Computational Mathematics, driving innovation in data-intensive biological research.