Jeremy Howard
Park City, Utah,United States
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Jeremy Howard is an Australian data scientist, researcher, entrepreneur, and educator. He is best known as the co-founder of fast.ai, a research institute dedicated to making deep learning more accessible to a wider audience. Before fast.ai, he was the President and Chief Scientist at Kaggle, the world's largest community of data scientists and machine learning practitioners. Jeremy has a strong background in both business and technology, having founded several successful companies, including FastMail and Optimal Decisions Group. His work primarily focuses on practical applications of AI, democratizing AI education, and he has also contributed significantly to research in areas like applying deep learning to medicine. He is also a Distinguished Research Scientist at the University of San Francisco.
Professional Summary
Jeremy Howard's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Co-founder of fast.ai
Co-founded fast.ai in 2016, a research institute and educational platform that makes deep learning accessible through practical courses like 'Practical Deep Learning for Coders' and open-source software libraries. It has helped hundreds of thousands of students globally.
Former President and Chief Scientist at Kaggle
Led Kaggle, the premier platform for predictive modelling and analytics competitions, significantly growing its community and impact before its acquisition by Google. He was also a top-ranked Kaggle competitor himself.
Entrepreneur and Founder
Successfully founded and led multiple technology companies, including FastMail (an email hosting company established in 1999) and Optimal Decisions Group (an analytics and optimization consultancy acquired by LexisNexis).
Distinguished Research Scientist, University of San Francisco
Conducts research at UCSF, focusing on applying deep learning to medicine, contributing to advancements in medical diagnostics, and improving healthcare outcomes.
Author and Educator
Co-authored the book 'Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD' and has taught deep learning to diverse audiences worldwide, emphasizing a code-first, practical approach.
Educational Background
Bachelor’s Degree, Interactive Multimedia Technologies
Edith Cowan University - Year 1993
Wesley College - Year 1985
Stream 2014
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Company Overview
Storypedia™Storypedia™ is an innovative platform leveraging AI and community collaboration to create, explore, and share rich, interactive narratives and fictional universes. It provides tools for writers to build intricate worlds, character backstories, and branching storylines, while readers can immerse themselves in dynamic tales that respond to their choices. Our mission is to become the definitive encyclopedia and creative hub for all forms of storytelling, from classic literature adaptations to original digital-native sagas.
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