CV

Sander de Haan is a doctoral student in both computational neuroscience at the Institute of Neuroinformatics at ETH Zurich and ethics at the Institute for Social Ethics ISE at the University of Lucerne. Under Prof. Dr. Benjamin F. Grewe and Prof. Dr. Peter G. Kirchschlaeger, his research focuses on uncovering the fundamental principles in learning systems, both artificial and biological, as well as the ethical dimension of artificial intelligence (AI).

During and next to his Computer Science engineering Masters degree from EPFL, he has done projects and research in theoretical machine learning, deep learning for pose estimation and automatic cell segmentation, and machine learning for medical diagnostics. Auxiliary experience includes: an AI Research Engineering internship at Logitech, creating deep learning models for brain-machine interfaces; data science for medical psychedelic research; and teaching roles at both EPFL and ETHZ.

Research

• Biologically-plausible Deep Learning
• Representation Learning
• Computer Vision
• Optimization for Machine Learning
• AI Ethics