A brief introduction.
I recently completed my PhD at CSAIL, MIT where I studied computer vision, machine learning, and AI under Aude Oliva and Phillip Isola. I previously received degrees in Neuroscience, Physics and Math from Bates College.
I enjoy applying methods from computer science, neuroscience and cognitive science to understand and model how perception and cognition are represented in human and machine. I'm eager to give LLMs the ability and agency to carry out scientific and AI research. With the help of these AI scientists, I hope to forward a self-propagating convergence of brain & cognitive sciences and machine learning.
Some of my research interests include:
Email: alexandonian [at] gmail.com OR andonian [at] mit.edu
CV / Google Scholar / GitHub / Twitter
Some of the organizations I have worked with in the past.
Places and teams I have worked
Where I've studied over the years.
A collection of side projects, research studies, and course assignments.
An overview of my research interests, publications, etc.
Deep Learning
Computer Vision
Computational Neuroscience
Medical disease detection and diagnosis
Bioimage informatics
Computational neuroanatomy
Blueshift Team (Minerva) (2023)
X - The Moonshot Factory/DeepMind
Google Research
Computer Vision Team (2022)
Google DeepMind
Castro Lab (2017)
Program in Neuroscience
Bates College
Rosen Lab (2013)
Department of Developmental Biology
Harvard School of Dental Medicine
Corkey's Lab (2012)
Obesity Research Center
Boston University School of Medicine