David Dindi

David Dindi

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Co-Founder & CEO
New York, United States

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Résumé


Jobs verified_user 0% verified
  • Atomic Invest
    Co-Founder & CEO
    Atomic Invest
    Jan 2020 - Current (6 years 6 months)
    Making wealth-building accessible to every single human being.
  • Stanford University
    Head TA
    Stanford University
    Mar 2016 - Jun 2016 (4 months)
    Deep Learning for Natural Language Processing (CS 224D)
  • C
    Cofounder
    Clariful Health
    Jan 2016 - Dec 2018 (3 years)
    Helped health systems improve their delivery of care through forecasts of patient demand
  • Stanford University School of Medicine
    Researcher
    Stanford University School of Medicine
    Jan 2015 - Dec 2016 (2 years)
    AI research in drug development and drug safety
  • Makena Capital Management LLC
    Analyst
    Makena Capital Management LLC
    Jan 2014 - Dec 2014 (1 year)
  • E
    Quantitative Analyst
    EB Porfoliomanagment
    Jan 2013 - Dec 2013 (1 year)
Education verified_user 0% verified
  • Stanford University
    Master’s Degree, Chemical & Computational Engineering
    Stanford University
    Jan 2015 - Dec 2016 (2 years)
  • Stanford University
    Bachelor's Degree, Chemical Engineering
    Stanford University
    Jan 2011 - Dec 2015 (5 years)
  • Vienna International School
    International Baccalaureate Diploma
    Vienna International School
Projects (professional or personal) verified_user 0% verified
  • M
    Mining Biomedical Literature for Spinal Cord Injury Treatment Insights
    Jan 2016
    Created an unsupervised method for extracting experimental findings relating to spinal cord injury from biomedical literature.
  • P
    Predicting Stock Movements Using Market Correlation Networks
    Dec 2015
    Developed models that achieve competitive performance in predicting daily movements of US stocks.
  • G
    Generating Structured Opinions in Unstructured Financial Texts
    May 2015
    Designed an information retrieval strategy that can automatically find, categorize and aggregate in-line data-points in unstructured texts.
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