Headshot of Steve Ramirez.

Steve Ramirez

Assistant professor of psychological and brain sciences
Boston University

Steve Ramirez is assistant professor of psychological and brain sciences at Boston University and a former junior fellow at Harvard University. He received his B.A. in neuroscience from Boston University and began researching learning and memory in Howard Eichenbaum’s lab. He went on to receive his Ph.D. in neuroscience in Susumu Tonegawa’s lab at the Massachusetts Institute of Technology, where his work focused on artificially modulating memories in the rodent brain. Ramirez’s current work focuses on imaging and manipulating memories to restore health in the brain.

Both in and out of the lab, Ramirez is an outspoken advocate for making neuroscience accessible to all. He is passionate about diversifying and magnifying the voices in our field through intentional mentorship—an approach for which he recently received a Chan-Zuckerberg Science Diversity Leadership Award. He has also received an NIH Director’s Transformative Research Award, the Smithsonian’s American Ingenuity Award and the National Geographic Society’s Emerging Explorer Award. He has been recognized on Forbes’ 30 under 30 list and MIT Technology Review‘s Top 35 Innovators Under 35 list, and he has given two TED Talks.

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