About me
I am an engineer that aspires to build intelligent machines capable of performing any task a human can and more. To do so, I seek to understand the key biological mechanisms underpinning biological intelligence. How do animals learn? What neural architectures support this learning process? How can we reverse-engineer these mechanisms in silico? I aim to answer these questions.
I am currently a Research Engineer in the Karalis Lab at the Paris Brain Institute, studying how neuromodulators shape population activity in the brain.
Outside research, I like long runs, playing chess and classical music.
Research interests
Neuroevolution
By combining evolutionary optimization with biologically inspired circuit motifs, I aim to build artificial neural networks that learn continually.
Dexterous robot manipulation
I am interested in applying neuroevolution to robotics, with a focus on dexterous manipulation. My goal is to evolve neural controllers that can acquire complex sensorimotor skills through continual self-supervised interaction with the environment.
Dynamical Systems Theory
I study neural networks through the lens of dynamical systems theory, using tools from nonlinear dynamics to understand how learning, memory, and computation emerge from network interactions.
Contact
- Email: belete.kaleab@gmail.com