Research Interests
- Astrocyte function in neural circuits
- Bio-inspired neural network architectures
- Computational learning and decision modeling
- Machine learning
- Reinforcement learning
Computational Neuroscience · Astrocytes · Machine Learning
Ethan Chang
Researching how astrocytes shape neural computation to inform bio-inspired artificial intelligence.
About
Research-driven Discovery
I am a neuroscience Ph.D. student at Washington University in St. Louis, a joint doctoral researcher in the Brain Dynamics and Control Lab (Electrical and Systems Engineering) and the Papouin Lab (Neuroscience). My interests lie in computational neuroscience, astrocyte biology, and machine learning.
My work focuses on understanding how non-neuronal cells called astrocytes contribute to neural circuit function, and how those insights can be translated into more biologically grounded computational models.
I am also pursuing advanced training in applied and computational mathematics, with interests spanning optimization, probabilistic modeling, and deep learning.
Research and Education
Publications and Presentations
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