NeuroDISK

Varun Ratnakar, Yolanda Gil, Daniel Garijo, Hernan Vargas, Deborah Khider, Maximiliano Osorio
May 9, 2022

There is abundant brain image and genetic data for researchers to understand brain structure, functions and disease. It is challenging to carry out comprehensive analyses that integrate available data. Though data generation is continuous, analyses are seldom repeated and their results updated.

The Neuro-DISK project automates the analysis of neuroscience data through artificial intelligence (AI). NeuroDISK is an AI-driven discovery engine that will continually processes neuroscience data. We use ontologies of hypotheses to represent science driving questions, semantic representations to reason about the data available, machine learning to improve accuracy, and intelligent workflows to customize the analysis to the data. Given a science question, NeuroDISK autonomously determines what data is needed, triggers the execution of relevant families of workflows, customize them to the data at hand, and alert users of interesting findings.

We are developing NeuroDISK in collaboration with researchers from the ENIGMA consortium who study different neuroscience questions.

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Repositories

Featured
Varun Ratnakar
Varun Ratnakar
Research Engineer

Varun Ratnakar is director of Karya Limited, which provides services in AI research and development to USC’s Information Sciences Instute.

Yolanda Gil
Yolanda Gil
Senior Director for Major Strategic AI and Data Science Initiatives

I have broad research interests in AI and data science. As Principal Scientist I lead the Interactive Knowledge Capture research group, which is part of AI@ISI.

Daniel Garijo
Daniel Garijo
Collaborator
Hernan Vargas
Hernan Vargas
Research Engineer

My research interests are UI/UX and semantic technologies.

Deborah Khider
Deborah Khider
Research Lead

My research interests lie at the intersection of geoscience and artificial intelligence. I am particularly interested in using AI to advance the field of paleoclimatology, including tools to annotate and retrieve data, workflows for analysis and machine learning for climate-relevant predictions.

Maximiliano Osorio
Maximiliano Osorio
Research Engineer

I’m a software engineer who is passionate about making AI researchers possible, creating technologies to integrate information and models across disciplines.