A person working on a computer with many monitors looking at a brain activity model.The Computational Modeling and Analysis (CMA) Core provides access to state-of-the-art artificial intelligence (AI), machine learning (ML), high-performance computing (HPC), cloud computing (CP), networking, and advanced analytical software while providing services to aid investigators in neuroscience and biomedical research to develop more effective data analytics pipelines. Major equipment (cloud and AI-ready high-performance computing), training, and technical assistance are available on a fee-for-service basis; see our fee structure below. Smaller equipment is free of charge. All users are welcome with priority given to Neuroscience investigators.

The core is designed to unlock accessible, scalable, and modern computing solutions with significant benefits to faculty, postdocs and students:

  • Enhancing neuroscience research: The Core provides targeted engineering support for neuroscience investigators to establish novel pipelines for utilizing advanced data analytics platforms enabled by the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the biomedical domain. These services will be combined support for advanced statistical design and computational modeling.
  • Removing barriers to artificial intelligence and hHigh-performance computing: The Core provides a vital one-stop hub for advanced artificial intelligence computing supported by a significant computational infrastructure (COBRE GPU-Cluster), quality consultation, collaboration, and training, as well as a unique Streamlined Support Structure (S3) designed to lower the barrier to employing AI-ready models by COBRE investigators in order to elevate the scope, scale, and quality of their computational and data analytics pipelines.
  • Research rigor and reproducibility: The core's data analytics services provide expertise in both pre (design) and post (analysis) statistical analyses for researchers to ensure scientific productivity and research quality.
  • Research scalability: The Core will address this issue in three ways: (1) by providing the COBRE investigators and broader neuroscience and biomedical community with expert advice and consultation on appropriate statistical, analytics, and AI models suitable for their research; (2) providing a bridge and the cyberinfrastructure for investigators to utilize the resources; (3) offering regular AI computing, statistical analytics, and data science courses for students, postdoctoral scholars, and faculty in designing data-intensive experiments, operating the cyber infrastructures, and integrating advanced data analytics pipelines appropriate to their research.

Director and staff

CMA Core Computer Vision, Virtual Reality, Augmented Reality, Mixed Reality, Machine Learning, Artificial Intelligence, Robotics, Assistive Technology
Alireza Tavakkoli
Associate Professor and Director of Computational Modeling and Analysis Core
(775) 682-8426
WPEB 417
7271 Computer Vision, Virtual Reality, Augmented Reality, Mixed Reality, Machine Learning, Artificial Intelligence, Robotics, Assistive Technology
CMA Core
Vacant Position
Core Technician
7271
CMA Core
Michael Rudd, Ph.D.
Core Statistician
(775) 228-5757
7271

Equipment supported by the Computational Modeling and Analysis Core

 

Information for new and existing users

A Lab/Core Technician (tbd) on staff provides basic training and technical support in order to assist researchers with all of our equipment and software. For information about the core, please contact the core director Alireza Tavakkoli, Ph.D. at tavakkol@unr.edu or Michael Rudd, Ph.D. at mrudd@unr.edu.