Michael Halassa.

Michael Halassa

Professor of neuroscience and psychiatry
Tufts University

Michael Halassa is professor of neuroscience and psychiatry at Tufts University. Hisresearch focuses on cognitive control and flexibility. His lab has identified the first non-relay function for the thalamus: the control of task-relevant prefrontal dynamics and effective connectivity. This work has opened up many new lines of research and provided fundamental insight into the neural basis of human cognition. His lab trainees have gone on to lead faculty positions at various institutions. 

Halassa is also a board-certified and practicing psychiatrist who specializes in treatment of psychotic disorders. His clinical research is focused on identifying novel precision targets based on emerging pharmacology and neurostimulation. He has been consistently funded by the U.S. National Institutes of Health and has received several fellowships and prizes throughout his career—most notably, the Vilcek Prize for Promise in the Biomedical Sciences (2017), an award given to immigrant scientists who have made extraordinary contributions to American society.

Halassa earned his Ph.D. in neuroscience at the University of Pennsylvania and his M.D. at the University of Jordan.

From this contributor

Explore more from The Transmitter

Clockwise: lab mouse, zebrafish, octopus, rat pushing a cube, nematodes, fruit fly.

The term ‘model organism’ should be reserved for biological systems

By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.

By Marc Coutanche
13 November 2026 | 6 min read

New phase of BRAIN Initiative spawns basal ganglia ‘parts list’

With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.

By Claudia López Lloreda
12 November 2026 | 1 min watch
Research image showing genes containing microexons in mice.

Machine-learning model spots autism-linked variants that scramble splicing

The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.

By Giorgia Guglielmi
12 November 2026 | 4 min read