Daniel Soudry is an assistant professor and a Taub Fellow in the Department of Electrical Engineering at the Technion, working in the areas of machine learning and theoretical neuroscience. He is especially interested in all aspects of neural networks and deep learning.
Daniel completed his postdoc as a Gruss Lipper Fellow, working with Liam Paninski in the Department of Statistics at the Center for Theoretical Neuroscience, the Grossman Center for Statistics of the Mind, the Kavli Institute for Brain Science, and the NeuroTechnology Center at Columbia University. He completed his PhD in 2013, in the Network Biology Research Laboratory in the Department of Electrical Engineering at the Technion, Israel Institute of Technology, under the guidance of Ron Meir. In 2008, Daniel graduated summa cum laude with a BSc in Electrical Engineering and a BSc in Physics, after studying at the Technion since 2004.
- Foundations of Deep Learning, Summer 2019. Visiting Scientist.