Jeremy Howard

Jeremy Howard

Faculty

Networks & Computing Systems, Data Science

Request Jeremy for your event

Areas of Expertise

Networks & Computing Systems  •  Medicine  •  Data Science  •  Artificial Intelligence  •  Deep Learning

About Jeremy

Jeremy Howardis an entrepreneur, business strategist, developer, and educator. Jeremy is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, a faculty member at Singularity University, and a Young Global Leader with the World Economic Forum.

Jeremy’s most recent startup,Enlitic, was the first company to apply deep learning to medicine, and has been selected one of the world’s top 50 smartest companies by MIT Tech Review two years running. He was previously the President and Chief Scientist of the data science platformKaggle, where he was the top ranked participant in international machine learning competitions 2 years running. He was the founding CEO of two successful Australian startups (FastMail, and Optimal Decisions Group–purchased by Lexis-Nexis). Before that, he spent 8 years in management consulting, atMcKinsey & Co, andAT Kearney. Jeremy has invested in, mentored, and advised many startups, and contributed to many open source projects.

He hasmany television and other video appearances, including as a regular guest on Australia’s highest-rated breakfast news program, apopular talk on TED.com, and data science and web development tutorials and discussions.

Big Data & Machine Learning | Jeremy Howard | Exponential Medicine 2015

Future of Data Science with Jeremy Howard

The wonderful and terrifying implications of computers that can learn | Jeremy Howard | TEDx

TEDxBrussels - Nov 2018

Lesson 4: Deep Learning 2019 - NLP; Tabular data; Collaborative filtering; Embeddings

Future of Individualized Medicine 2019

Speaking Topics

  • Deep Learning in Practice

    Recent advances in AI have made it possible for computers to do things they couldn’t do before, such as see, hear, and read. In this talk we’ll discover what this means in practice.

See all faculty