Consulting Services

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Advanced Research Computing (ARC), a division of ITS, is pleased to offer a pilot called Scientific Computing and Research Consulting Services to help researchers implement data analytics and workflows within their research projects. This includes navigating technical resources like high-performance computing and storage.

The ARC Scientific Computing and Research Consulting Services team will be your guide to navigating the complex technical world: from implementing intense data projects, to teaching you how the technical systems work, to assist in identifying proper tools, to guiding you on how to hire a programmer.

Areas of Expertise

  • Data Science
    • Data Workflows
    • Data Analytics
    • Machine Learning
    • Programming
  • Grant Proposals
    • Compute Technologies
    • Data Storage and Management
    • Budgeting cost for computing and storage
  • Scientific Computing/Programming
    • Getting started with advanced Computing
    • Code optimization
    • Parallel computing
    • GPU/Accelerator Programing
  • Additional Resources
    • Facilitating Collaborations/User Communities
    • Workshops and Training

Who can use this service?

  • All researchers and their collaborators from any of the university’s three campuses, including faculty, staff, and students
  • Units that want help including technical information when preparing grants
  • Anyone who has a need for HPC services and needs help navigating resources

How much does it cost?

  • Initial consultation, grant pre-work, and short term general guidance/feedback on methods and code are available at no cost.
  • For protracted longer engagements, research teams will be asked to contribute to the cost of providing the service.


The ARC Scientific Computing and Research Consulting Services team works in partnership with the Consulting for Statistics, Computing, and Analytics Research team (CSCAR), Biomedical Research Core Facilities, and others. ARC may refer or engage complimentary groups as required by the project.

Get Started

Send an email to with the following information:

  • Research topic and goal
  • What you would like ARC to help you with
  • Any current or future data types and sources
  • Current technical resources
  • Current tools (programs, software)
  • Timeline – when do you need the help or information?

Check out current or past projects

Get Help

If you have any questions or wish to setup a consult, please contact us at Be sure to include as much information as possible from the “Get started” section noted above.

If you have more general questions about ARC services or software please contact us at

Virtual office hours are also available on Tuesdays, Wednesdays, and Thursdays. Get help with machine learning, algorithms, modeling, coding, computing on a cluster, survey sampling, using records across multiple surveys, and more. Anyone doing any type of research at any skill level is welcome!

Data Science Consulting

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Data Workflows

We are available to assist researchers along the entire lifecycle of the data workflow, from the conceptual stage to ingest, preprocessing, cleansing, and storage solutions. We can advise in the following areas:

  • Establishing and troubleshooting dataflows between systems
  • Selecting the appropriate systems for short-term and long-term storage
  • Transformation of raw data into structured formats
  • Data deduplication and cleansing
  • Conversion of data between different formats to aide in analysis
  • Automation of dataflow tasks


The data science consulting team can assist with data analytics to support research:

  • Choosing the appropriate tools and techniques for performing analysis
  • Development of data analytics in a variety of frameworks
  • Cloud-based (Hadoop) analytic development

Machine Learning

Machine learning is an application of artificial intelligence (AI) that focuses on the development of computer programs to learn information from data.

We are available to consult on the following. This includes a general overview of concepts, discussion into what tools and architectures best fit your needs, or technical support on implementation.

Language Tools/Architectures Models
Python Python data tools (scikit, numpy, etc) Neural networks
C++ TensorFlow Decision trees
Java Jupyter notebooks Support vector machines


We also provide consulting on programming in a variety of programming languages (including but not limited to: C++, Java, and Python) to support your data science needs. We can assist in algorithm design and implementation, as well as optimizing and parallelizing code to efficiently utilize high performance computing (HPC) resources where possible/necessary. We can help identify available commercial and open-source software packages to simplify your data analysis.


If you have any questions or wish to setup a consult please contact us at