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K. Nathaniel Tucker

Researcher, Vicarious

San Francisco

I am an AI Researcher at Vicarious. I was a Computer Science Concentrator at Harvard University in the School of Engineering and Applied Sciences where I received my A.B. and S.M. in Computer Science. While there I ran the Harvard College's first club on quantitative finance and research. Previously, I worked at Jane Street Capital, a hedge fund in New York. I also worked at Goldman Sachs , Facebook (where I developed a product that made the team 38 million dollars per annum), Microsoft, and Google. While in school, I worked part-time for a few startups (like Kensho) and have devoted some time to starting my own. You can read more about that in the projects section. My research in school focused primarily on theoretical computer science. However I have always had a great interest in biology and economics, and will soon have a paper published there as well. Please see my research for more details. I am an avid reader and learner. I teach part time at General Assembly and am developing open source teaching material for data science and machine learning . I currently spend most of my time working at Vicarious, creating educational content for my YouTube Channel and doing data science consulting.

Previously (7):

Introduction to Deep Learning Bootcamp

Introduction to Deep Learning Bootcamp

Build the intuition and the technical skills needed to effectively apply Deep Learning models.

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Data Science

Data Science

In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.

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Break Into Data Science

Break Into Data Science

Take a peek into a day in the life of a data scientist and, more importantly, how you can get what the Harvard Business Review calls the “sexiest job of the 21st century."

General Assembly: Meet the Instructors Happy Hour

General Assembly: Meet the Instructors Happy Hour

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