At Janelia, computer scientists, theorists, experimentalists, and engineers are working together to develop a fundamental understanding of biological systems.
- We create and annotate exceptional datasets and we develop innovative machine vision and learning methods to analyze and interpret them at scale.
- We develop computational imaging methods and sensors to measure previously inaccessible biological processes.
- We develop theoretical frameworks and data-driven computational models to distill general principles that govern how and why biological systems operate the way they do. We close the loop connecting theory, computation, and experimental design.
Over the next decade, HHMI will invest $500 million to embed AI systems throughout every stage of the scientific process.
Research Groups
Branson Lab / We develop new machine vision and learning technologies to extract scientific understanding from large image data sets. Using these systems, we aim to gain insight into behavior and how it is generated by the nervous system.
Funke Lab / We develop methods and tools for the automatic analysis of microscopy image datasets that are too large for manual inspection alone.
Hermundstad Lab / Our goal is to identify efficient strategies that animals and brains use to make sense of their surroundings and guide smart behavior.
Pachitariu Lab / We study neural representations in large-scale population recordings from cortex and beyond.
Romani Lab / We want to establish the mechanisms by which microcircuits in the hippocampus and cortex encode, maintain and dynamically update information, and relate these to phenomena expressed at the level of behavior.
Saalfeld Lab / The Saalfeld lab designs and develops methods and software for scalable automatic image analysis and collaborative manual and semi-automatic image annotation.
Shroff Lab / We invent optical and computational tools to improve fluorescence microscopy. We are passionate about applying our tools to problems of outstanding biological significance.
Stringer Lab / We investigate complex, high-dimensional cortical computations using large-scale neural data.
Tervo Lab / We seek to understand the mechanistic basis of social cognition. We develop tools to make this possible and use these tools to reveal the neural basis of rodent social interaction in ethological settings.
Turaga Lab / Our research lies at the intersection of AI and science, with a particular focus on neuroscience, biomechanics, optics, and protein engineering.
Theory Fellow Program
Janelia Theory Fellow Program / A program for early-career scientists – including newly minted PhDs – with promise in mathematics, physics, computer science, and engineering.
Project Teams
Shared Resources
Scientific Computing Software / Scientific Computing Software works closely with Janelia's labs, project teams, and shared resources.
Join Our Team
We’re recruiting scientists for AI@HHMI, our new $500 million initiative to embed AI systems throughout every stage of the scientific process.
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