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    Jason Gauci

    Machine Learning & Data Platform

    Jason Gauci is a renowned professional with a strong background in machine learning and technical leadership. His career highlights include leading the ReAgent team at Facebook, focusing on automated marketing using Reinforcement Learning and overseeing various machine learning projects at Apple and Google.

    During his tenure at Google Research, Jason built a large-scale machine learning platform for predicting click-through-rate and conversion rate across the corporation. He co-hosts the popular Programming Throwdown podcast and is a co-inventor of HyperNEAT, a method for evolving the topology of deep neural networks.

    Jason's expertise spans specialties such as large-scale machine learning, deep learning, recommender systems, Bayesian inference, image processing, Spark, SIMD, and GPU programming. He holds a Ph.D. in Computer Science with specializations in Artificial Intelligence and Neuroevolution from the University of Central Florida, where he also completed his Bachelor's in Computer Science.

    Formerly holding key roles at Latitude AI, Argo AI, Facebook AI, Apple, Google, and Lockheed Martin, Jason Gauci's rich professional experience showcases his technical prowess and leadership skills in the field of machine learning.

    As a life-long learner, Jason has enriched his understanding through various courses on Coursera, particularly focusing on economics and game theory.

    If you are interested in machine learning, technical leadership, or deep learning, Jason Gauci's insights and contributions in the field could provide valuable knowledge and inspiration.

    Jason Gauci
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    Location

    Austin, Texas, United States