RJ

R. Jacob Vogelstein

Co-Founder and Managing Partner at Catalio Capital Management, LP

Washington, District of Columbia

Invests in

  • Min Investment:

    $100,000.00
  • Max Investment:

    $5,000,000.00
  • Target Investment:

    $1,500,000.00

Skills

Biomedical Engineering
Signal Processing
Electronics
Machine Learning
Neuroscience
Proposal Writing
Data Analysis
Program Management
Algorithms
Science
Simulations
Matlab
Systems Engineering
Image Processing
Mathematical Modeling
Research
Integrated Circuit Design

Work Experience

  • Co-Founder and Managing Partner

    2020

Gigantum (acq. by nVidia)

2017 - 2022

  • Co-Founder and Director

    2017 - 2022

    Accelerating science by facilitating the transparent description, continuous evolution, and open exchange of experimental data, analyses, and results.

2016 - 2020

  • Managing Partner, Nexus Management, L.P.

    2016 - 2020

    Nexus is a venture capital strategy investing in seed-stage technology companies which aim to translate intellectual property from the laboratory to a commercial setting.

  • Program Manager

    2013 - 2017

    I designed and currently manage the Machine Intelligence from Cortical Networks (MICrONS) program, as well as the Knowledge Representation in Neural Systems (KRNS) program. My areas of interest include neural computing, neuromorphic hardware, neuromimetic algorithms, brain-computer interfaces, neural prosthetics, artificial intelligence, and other topics in applied neuroscience.

Gamma3 LLC

2012 - 2015

  • Partner

    2012 - 2015

    Early-stage venture capital for Baltimore-based technology companies in all sectors.

  • Assistant Research Professor

    2008 - 2013

     Direct the Laboratory for Cross-disciplinary Research in Applied Neuroscience and Neural Engineering.  Oversee and advise research activities of post-doctoral, graduate, and undergraduate students enrolled in academic study programs at the Johns Hopkins University Whiting School of Engineering.  Teach two courses: Product Design Lab (520.427) and Brain-Computer Interfaces (520.671).

  • Program Manager, Applied Neuroscience

    2007 - 2013

     Responsible for conception, technical oversight, and management of a diverse portfolio of cutting-edge research and development programs in applied neuroscience and biomedical engineering. Duties include: o Establishing strategies, priorities and requirements for the portfolio and its constituent projects; o Organizing and leading teams of scientists and engineers within the Applied Physics Laboratory, partners at national and international academic institutions, and commercial subcontractors; o Managing grants and contracts, including oversight of budgets, human and physical resources, subcontracts, and interaction with sponsors, stakeholders, and contracting officers at federal agencies; o Capturing new business through social networking, identifying opportunities, and writing proposals; and o Communicating research outcomes, programmatic status, and administrative updates to technical and non-technical audiences including the media, sponsors, customers, stakeholders, direct supervisors and upper management, and national and international scientific and engineering communities.  Oversee a $7.5M annual operating budget for a portfolio of approximately ten projects, which employs over 30 technical staff members ranging from junior research assistants to senior scientists and subject matter experts, plus administrative staff for program and financial management.  Interact with current and future (potential) sponsors at the Defense Advanced Research Projects Agency, the Intelligence Advanced Research Projects Agency, the National Security Agency (Research Directorate), the Office of Naval Research, the Office of Naval Intelligence, and the National Institutes of Health.

Global Domain Partners

2006 - 2012

  • Partner

    2006 - 2012

     Design quantitative trading strategies for futures contracts based on neural signal processing algorithms and work with a team of software and financial engineers to create a fully-systematic investable fund using this technology. o Focus on machine learning and pattern recognition-based approaches. o Utilize robust and dynamic algorithm generation processes that prevent overfitting and staling. o Integrate state-of-the-art mathematics from diverse academic fields. o Concentrate on downside protection: seven consecutive years of positive returns (every year since inception) with average annual returns of approximately 9%.  Contribute to business management and marketing strategies.  Represent firm at industry meetings and conferences.  Solicit and raise funds from individual and institutional investors.