DV

David Vogel

Quantitative Investor and Climate/Health Solutions Advocate

Jupiter, Florida

Invests in

Stages:

  • Min Investment:

    $100,000.00
  • Max Investment:

    $1,000,000.00
  • Target Investment:

    $500,000.00

Work Experience

  • Founder/Chief Executive Officer and Chief Scientist

    2009

    • 2021 Voloridge Investment Management awarded HFM “Best Machine learning fund” • 2020 Voloridge Investment Management awarded HFM “Best Quantitative Strategy over 1 billion AUM” • 2020 Voloridge Investment Management awarded HFM “Best Multi-Strategy over 1 billion AUM” • Ultimately responsible for all investment decisions made by Voloridge funds • Builds or directs the build many of the firm's predictive models and algorithms

  • VoLo Health Inititative- Co-Founder/Trustee and Chief Scientist

    2019

    Mission Statement: To fund and develop breakthroughs and discoveries in data science methodologies as applied to molecular biology, pathogenesis and aging by which to impact health, quality of life and longevity.

  • Environmental and Humanitarian Programs - Co-Founder/Trustee and Chief Scientist

    2014

    Enacting Positive Change in the World Through Data-Driven Research FOLLOW US: Twitter / Instagram / Facebook: @volofoundation Learn more: www.VoLoFoundation.org

  • Research Associate, College of Sciences Department of Statistics & Data Science

    2021

  • Founding Advisor, Seed Investor

    2020

    Mission Statement: VoLo Earth addresses our planet's climate crisis at its roots by providing first-in funding and hands-on leadership to early-stage climate tech companies. We strive to grow, propagate, and capitalize on climate solutions with an intent to deliver superior investment returns and quantifiable carbon benefit. The founding team members at VoLo Earth Ventures have a diverse set of backgrounds with complementary skill sets and are passionate about changing the world through innovation and capitalism. We believe in responsible ESG and climate-based investing for a sustainable future.

2008 - 2009

  • Solutions Manager

    2008 - 2009

    Built the bulk of Acxiom's clients' statistical models that supported digital marketing efforts.

  • Consultant

    2007 - 2009

    Founded and managed a small consultancy that develops world class, custom-built, predictive models using the company's proprietary predictive modeling tool set.

1998 - 2007

  • Director of Research, Lead Scientist

    1998 - 2007

    • Designed and created an enterprise-level Predictive Modeling Software program “MITCH” using C++ and Visual Basic. Included are Neural Networks, Model Trees, linear and polynomial regression, logistic regression, decision trees, nearest neighbors, PCA, variable selection, interaction detection, clustering algorithms, proprietary algorithms, custom database structure, graphs, customized statistics, a sophisticated user-interface functioning as an OLAP, real-time scoring mechanisms and a built-in programming language. Performance is generally a multiple faster than widely used modeling tools, as well as more numerically stable. • Designed, created, and applied the analytical process for “Risk Navigator” software. This software is used to predict future costs and inpatient admissions for hospitals and insurance plans. It is now the core product for MEDai, a wholly owned subsidiary of Elsevier. • Applied an Artificial Intelligence tool to demonstrate the predictability of stocks in the stock market. Traded a small fund from Dec. 1, 2000 to Sept. 11, 2001, and it was highly profitable in a bear market. • Designed statistics and data processing methodology for MEDai’s clinical decision support system. • Defend A.I. and statistical methodologies to existing clients. • Prepare and give presentations to prospective clients, assisting in key sales. • Responsible for estimating the 2005/2006 and 2006/2007 Medicaid Budgets for the state of FL (approx. $15 billion)

1996 - 1998

  • Software Development Manager

    1996 - 1998

    • Invented and implemented a numerical technique for calculating radiation levels from radioactive sources; the resulting program was 10+ times faster, and more accurate than the industry standard “point kernel” technique. • Designed and maintained Visual Basic and C++ nuclear engineering applications. • Managed all other programmers in the development of new engineering applications. • Solved difficult mathematical problems for Nuclear Engineers.