Alexander Amini is a Postdoctoral Researcher in the Computer Science and Artificial Intelligence Laboratory (CSAIL), with Prof. Daniela Rus. He completed his PhD (2022), Master of Science (2018), and Bachelor of Science (2017) in Computer Science at MIT, with a minor in Mathematics.

Amini leads research to develop the science and engineering of autonomy and its applications to safe decision making for autonomous agents. He aims to create a world with adaptive autonomous agents capable of learning to interact in complex, uncertain, and extreme scenarios, supporting people with cognitive and physical tasks. His work has spanned learning end-to-end control (i.e., perception-to-actuation) of autonomous systems, formulating confidence of neural networks, mathematical modeling of human mobility, as well as building complex inertial refinement systems.

In addition to research, Amini is a lead organizer and lecturer for MIT 6.S191: Introduction to Deep Learning, MIT's introductory course on deep learning algorithms and their applications.