Samuel Erickson Andersson

Samuel Erickson Andersson is a doctoral student at the Royal Institute of Technology (KTH) in the Division of Decision and Control Systems. He is advised by Prof. Mikael Johansson and Prof. Cristian Rojas.

• Education:
  • MSc in Engineering Mathematics from Linköping University (with a visiting graduate year at Stanford University)
  • BSc in Applied Physics and Electrical Engineering from Linköping University
  • BSc in Mathematics from Linköping University

Research Focus: Samuel's work bridges machine learning and optimization, targeting applications in medicine and finance. His current emphasis on distributed learning and federated learning highlights his interest in decentralized data processing. Notable contributions include methodological advancements in statistical learning and high-dimensional statistics.

Publications: Samuel's research trends include personalized federated learning and inverse covariance estimation, reflecting his expertise in handling complex, distributed datasets and statistical modeling.

• Professional Experience:
  • Conducted master's thesis research at Lynx Asset Management (Spring 2024)