William Ross

William Ross

About

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CEO // Co-Founder
New York, United States

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work
Job

Résumé


Jobs verified_user 0% verified
  • Federato
    CEO // Co-Founder
    Federato
    Mar 2020 - Current (6 years 6 months)
    - Running head first at a big, hairy, no-good, nasty problem - Learn more at federato.ai
  • Udacity
    Instructor
    Udacity
    Oct 2019 - Jul 2025 (5 years 10 months)
    - Served as lead instructor for first ever Executive Program, AI for Business Leaders - 1000s of graduates - "... the best training I've ever taken"
  • Venrock
    Investor
    Venrock
    Apr 2019 - Jul 2019 (4 months)
    - Focused on early stage (Seed - Series A) cross-industry tech investments - Majored in applied ML/AI and the multi-cloud, federated data landscape
  • IBM
    Manager, Corporate Development, IBM Watson
    IBM
    Apr 2018 - Apr 2019 (1 year 1 month)
    - Managed a group of six investment professionals working across the capital lifecycle - My team covered ~$21B (revenue) of growth brands - AI, Cloud, Health, FinTech, Blockchain
  • IBM
    Deal Lead - AI & Data, Corporate Development, IBM Watson
    IBM
    Oct 2017 - Apr 2018 (7 months)
    - Covered AI & Data General Manager on all Corp Dev and Biz Dev functions - Managed brand's portfolio of six minority-share/venture investments
  • IBM
    Strategy & Operations, Corporate Development, IBM Watson
    IBM
    Jun 2016 - Oct 2017 (1 year 5 months)
    - Drove range of transactions from minority investments to multi-billion dollar mergers - Utilized strong product management background to lead green-field initiatives
  • IBM
    Sr. Product Manager, IBM Watson
    IBM
    Aug 2014 - Jun 2016 (1 year 11 months)
    - Managed multiple ML/AI product teams, turning words into vision into product delivery - Built C-suite relationships with partners, helping deliver offerings on four continents
  • Real Chemistry
    Data Science + Analytics
    Real Chemistry
    Jan 2013
    - Early days of ML/AI (NLP, computer vision) at WCG, W2O Group focused on social signals - Clients were across media, cpg, and big pharma - Verizon, P&G, PhRMA, etc.
  • PanelClaw Inc
    Sales and Marketing Operations
    PanelClaw Inc
    Jan 2012
    - Programmed new tools to automate back-office sales processes
  • HMRI Huntington Medical Research Institutes
    Research Associate
    HMRI Huntington Medical Research Institutes
    Jan 2011 - Jan 2012 (1 year 1 month)
    - Data modeler for published, peer-reviewed MR spectroscopy research - "Change in Brain MR Spectroscopy After Treatment During Acute HIV Infection"
Education verified_user 0% verified
  • Stanford University
    MS, Climate and Atmospheric Modeling
    Stanford University
    Research - A CNN-Based RL Method to Learn Fire Behavior @ NeurIPS 2021, TomKat Center for Sustainable Energy Grant Recipient
  • Tufts University
    BA, Philosophy and Environmental Science
    Tufts University
  • Stanford University Graduate School of Business
    MBA
    Stanford University Graduate School of Business
    Stanford Data Science Institute Summer Fellow, Public Management and Social Innovation Certificate
Publications verified_user 0% verified
  • N
    Being the Fire: A CNN-Based Reinforcement Learning Method to Learn How Fires Behave Beyond the Limits of Physics-Based E
    NeurIPS Climate Change AI Dec
    Wildland fires pose an increasing threat in light of anthropogenic climate change. Fire-spread models play an underpinning role in many areas of research across this domain, from emergency evacuation to insurance analysis. We study paths towards advancing such models through deep reinforcement learning. Aggregating 21 fire perimeters from the Western United States in 2017, we construct 11-layer raster images representing the state of the fire area. A convolution neural network based agent is trained offline on one million sub-images to create a generalizable baseline for predicting the best action - burn or not burn - given the then-current state on a particular fire edge. A series of online, TD(0) Monte Carlo Q-Learning based improvements
  • PLOS ONE
    Change in Brain Magnetic Resonance Spectroscopy after Treatment during Acute HIV Infection
    PLOS ONE
    Single voxel proton magnetic resonance spectroscopy (MRS) can be used in parallel with time domain linear combination modeling (LC Model) to monitor changes in brain inflammation and neuronal integrity associated with HIV infection and its treatments. We used MRS to measure brain changes during the first weeks following HIV infection and in response to antiretroviral therapy (ART). We found that early use of ART may be neuroprotective as a means to prevent neuronal injury and ameliorate brain inflammation.
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