Daniel Andresen
Kansas State University, KS·Computer Science
Modern neuroscience produces very large datasets, including brain scans, recordings of electrical activity, and detailed behavioral measurements, often collected in real time. Storing, sharing and analyzing these data securely takes specialized computing infrastructure and expertise.
- Fields
Computer Science
Neuroscience
- Topics
neuroinformatics
high-performance computing
machine learning
- Grants
- 1 known grant, through May 2027
What they work on
- Provide secure, fast data sharing, analytics, computational modeling and high-performance computing for neuroscience datasets such as fMRI, diffusion tensor imaging, EEG and electrophysiology recordings.
- Add machine learning and artificial intelligence expertise to the core, with new faculty advisors and graduate students, to help researchers apply ML/AI models to neuroscience data.
- Support sensitive research data on-premises and in the cloud through the Research Information Security Enclave, a secure Microsoft Azure–based environment.
More about the research
Increasingly, it also takes machine learning.
Why it matters
Reliable computing, secure data storage and machine-learning support let neuroscientists analyze brain imaging, neural recordings and Alzheimer's disease model data at scales they otherwise could not. That could speed research on brain function and disease and help junior investigators build independent research programs.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Sunita Chandrasekaran
University of Delaware, DE·Computer Science
Build a sustainable, scalable pipeline of Research Software Engineers to support social, behavioral and economic sciences and coastal sciences research, in partnership with Howard University, Delaware State University and Lincoln University.
Lonnie Crosby
University of Tennessee-Knoxville, TN·Computer Science
Build and operate a cross-institutional research engagement network (CIREN) spanning two universities that recruits, trains and places cyberinfrastructure facilitators into multi-disciplinary research projects.
Alexis Battle
Johns Hopkins University, MD·Computer Science
Mentor early-stage investigators in study design, data pipelines and quantitative methods for multimodal, longitudinal data in aging and Alzheimer's disease research.
The school
Kansas State University: 7 labs on PI Pages, $265M a year on research, 201 research doctorates a year.
Reach out
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