Ari Berman

Ari Berman, Ph.D.

Chief Executive Officer

Contact Information

Email: ari@bioteam.net

Cell: 512-784-1119

IM: ari@bioteam.net (Gtalk), bermanari (AOL), arieberman (yahoo)

Intro:

Ari is the Chief Executive Officer for BioTeam. He has been a scientist for 15 years and an HPC expert for 26 years. He also has 15 years of management experience and 8 years of business strategy and operations experience.

Location:

Austin, TX

Personal Interests:

  • Distance Running
  • Competitive Rowing
  • Brewing Beer
  • Baking
  • Snow skiing
  • Playing Violin and Piano

  • Focus Areas:

    • Leadership and Management
    • IT Infrastructure
    • High Performance Computing
    • Science Networks (ScienceDMZs)

    Scientific Areas:

    • Neuroscience
    • Molecular Biology
    • Neurodegenerative Diseases

    Background

    Ari received his Ph.D. in Molecular Biology with a focus on Neuroscience in 2005 from the University of Texas at Austin (UT). His graduate work focused on studying the effects of genetics on addictive behaviors such as alcoholism. His postdoctoral fellowships at the University of California, San Francisco (UCSF) and the Buck Institute for Research on Aging focused on improving our understanding of neurodegenerative diseases of aging (specifically, Parkinson’s and Alzheimers Disease) by utilizing a combination of laboratory science and animal models, as well as bioinformatics and computational biology. Ari is also an expert in Scientific Computing specializing in high performance computing (HPC), high-performance networks, data centers, storage, cloud, general IT infrastructure, and bioinformatics and data analytics. He has been designing, building, and operating scientific computing environments for 26 years and strives to advocate for science and empower researchers to make discoveries from their complex datasets. His ultimate goal is to help create a dynamic enough abstraction of flexible infrastructure from research end-users to enable anyone to analyze and gain knowledge from very complex datasets.