My name is Ryan Saxe, and I'm a Senior Global Manager of Data Science and Analytics at Anheuser-Busch InBev. When I'm not working on something machine Learning related, you can find me dancing on the streets of New York City, or traveling the world to play Magic: the Gathering! Many of my personal projects are at the intersection of my hobbies. One project is an AI for drafting MTG. This is, as far as I am aware, the first case of AI successfuly competing in MTG. The details of the data, algorithm, and interpretations can be found in this blog post.

  • Senior Global Manager of Data Science and Analytics
    I am currently the technical co-lead for the team dedicated to providing Machine Learning solutions to report the efficacy of marketing tactics as well as automate the allocation of marketing spend.
    AB-InBev
    CURRENT Mar, 2021
  • Senior ML Research Scientist
    My areas of research were Graph Neural Networks applied to product introduction, embedding regularization techniques, and transparent neural architectures.
    PepsiCo Ecommerce
    OCT, 2020
  • Data Scientist
    My main contributions were an internal API for training deep learning systems with economic priors, which has been used for optimizing marketing spend and determining price elasticity. I also designed a multi-modal Graph Embedding model capable of measuring product similarity, which has been integrated with multiple models to help account for product cannibalization.
    PepsiCo Ecommerce
    JUl, 2019
  • Master of Science in CS
    My area of research focus was Machine Vision applications for Gait Recognition and Classification of Pathological Disorders. I pursued this research at the RiskEcon Lab for Decision Metrics, and published this corresponding survey paper.
    New York University
    SEP, 2017
  • Bachelor of Arts in Math & CS
    New York University
    SEP, 2013