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John Novak
Machine Learning/Deep Learning Expert, Ronin Physicist, Entrepreneur
John Novak is an accomplished entrepreneur, engineer, and problem-solving generalist with a background in both physical and digital realms.
With a PhD in Nuclear Physics from Michigan State University, John has a strong academic foundation and practical experience from his tenure at prestigious research institutions like the National Superconducting Cyclotron Laboratory and Brookhaven National Laboratory.
John's career spans various roles encompassing science, technology, and entrepreneurship, including positions at Ford Motor Company, Western Michigan University, Rapid Robotics, Standard Cognition, QxBranch, J.P. Morgan, and the U.S. Securities and Exchange Commission.
As an expert in computer vision, hardware engineering, data science, and quantitative research, John has contributed significantly to diverse fields and excelled as a problem solver and innovator.
Throughout his career, John has demonstrated a knack for leading and founding successful ventures, as evidenced by his journey from start-up inception to series B funding.
His educational background includes a Bachelor of Science in Physics and Mathematics with a minor in Philosophy, a Master of Science in Nuclear Physics, and a Doctor of Philosophy in Nuclear Physics.
John's passion for tackling challenging problems with creative solutions makes him a valuable asset in any endeavor.
