Stephen Fitz

I'm an American scientist working in the field of Artificial Intelligence. My main research interests are Deep Neural Networks, Representation Learning, Algebraic Topology of Embedding Spaces, Computational Linguistics / NLP, and Reinforcement Learning. Additionally, I'm excited about the application of methodology and computational techniques from Neural Machine Learning and Mathematical Data Science to research in areas outside of mainstream AI, such as Physics, Biology, Neuroscience, as well as Social Sciences and Humanities. Intersection of Deep Learning and Applied Psychology is an area of interest I'm currently involved in as well. I'm also interested in Economics, Law, and Entrepreneurship. Outside the Academia, I have been involved in applications of AI in various industries. I was a founding member of the Chicago Innovation Exchange (center for new technology startups in Chicago, sponsored by the Booth School of Business at the University of Chicago) where I advised companies on the use of AI and data science in various domains, and I have been applying AI techniques to diverse problems including algorithmic trading. I have worked in technology sector positions including software development, consulting, industrial research, as well as executive appointments.