CEO @ Enlitic; Faculty @ Singularity University
- San Francisco Bay Area
Jeremy Howard's Overview
- Young Global Leader at World Economic Forum
- Harvard Kennedy School
- University of Melbourne
Jeremy Howard's Summary
CEO of Enlitic; Faculty at Singularity University; World Economic Forum Young Global Leader 2013; Data Strategist at Khosla Ventures; Past president of Kaggle; Previously Distinguished Research Scientist at USF; Founder of FastMail.FM and Optimal Decisions; ex-management consultant, now nearly fully recovered; failed philosophy student.
Specialties: Internet, data analytics, executive education, startups, scientific programming, media relations, email, web development, data mining, optimisation, financial services, business strategy
Jeremy Howard's Experience
Privately Held; 1-10 employees; Information Technology and Services industry
August 2014 – Present (2 months) San Francisco Bay Area
Enlitic uses recent advances in machine learning to make medical diagnostics faster, more accurate, and more accessible, through the application of modern machine learning. Medical diagnostics is, at its heart, a data problem - turning images, lab tests, patient histories, and so forth into a diagnosis and proposed intervention. Machine learning breakthroughs such as deep learning have shown that computers can rapidly turn large amounts of data of this kind into deep insights, and find subtle patterns. This is the biggest opportunity for positive impact using data that I've seen in my 20+ years in the field.
I hope you'll consider joining us in our mission. If you are an expert at finding insights in data, even if you have no previous background in healthcare, come talk to me! This is your chance to apply your technical skills to saving lives, and helping people live longer and healthier.
Privately Held; 11-50 employees; Venture Capital & Private Equity industry
April 2014 – Present (6 months) Menlo Park, California
I'm looking out for interesting data driven companies to join the Khosla Ventures portfolio, and helping existing portfolio companies to use their data more effectively.
Educational Institution; 11-50 employees; Higher Education industry
June 2012 – Present (2 years 4 months) Mountain View, CA
The university's mission is to assemble, educate and inspire a new generation of leaders who strive to understand and utilize exponentially advancing technologies to address humanity’s grand challenges. I teach data science and machine learning to the inspiring people who are awarded places to study here.
Young Global Leader
Nonprofit; 201-500 employees; Nonprofit Organization Management industry
2013 – Present (1 year)
The Forum of Young Global Leaders is a unique, multi-stakeholder community of more than 700 exceptional young leaders who share a commitment to shaping the global future. I was selected as a YGL in 2013 for a 5 year term.
Distinguished Research Scientist
Educational Institution; 1001-5000 employees; Higher Education industry
January 2014 – July 2014 (7 months) San Francisco Bay Area
I was a Distinguished Research Scientist at the University of San Francisco, as well as an affiliate of and adviser to its Master of Science in Analytics (MSAN) program. I served as a regular seminar speaker and teacher of machine learning.
President & Chief Scientist
Privately Held; 11-50 employees; Information Technology and Services industry
October 2011 – October 2013 (2 years 1 month) San Francisco
Kaggle is a platform for predictive modelling and analytics, with over 100,000 data scientists who compete in predictive modelling competitions. Companies and researchers post their data and data scientists from all over the world compete to produce the best models.
I was a technical and strategic advisor to the company, as well as doing public speaking and media relations to help develop Kaggle's profile. I also wrote the basic software platform, did the series A fund raising materials and much of the pitching, and was the first angel investor.
Privately Held; 51-200 employees; Oil & Energy industry
June 1999 – May 2010 (11 years) Melbourne, Australia
I founded FastMail because I was frustrated with the poor state of email services available at the time. I built FastMail into a successful global business and after about 10 years of growth sold it to Opera Software, who now use it as the infrastructure behind OperaMail (and they still maintain the FastMail brand as well).
Privately Held; 11-50 employees; Management Consulting industry
June 1999 – August 2008 (9 years 3 months)
I came up with the idea for Optimal Decisions Group (http://www.optimaldecisions.com) and worked with my university friend (and math guru) Bruce Davey to turn it into a business. The idea was to move insurance pricing from the risk-minimization approach used up until that time, to a profit-maximization approach (incorporating price elasticity, competitor prices, multi-period simulations, and so forth). The idea turned out to work really well in practice, and Optimal Decisions built a strong presence in the US, UK, and Australia. After nearly 10 years of constant growth I sold the company to ChoicePoint, Today the product is sold as "LexisNexis Optimal Decisions Toolkit".
Partnership; 1001-5000 employees; Management Consulting industry
January 1997 – June 1999 (2 years 6 months)
Engagement Manager in the Financial Institutions Group, and founding manager of the Leveraging Customer Information practice (AT Kearney's first global practice focused on utilizing what today is known as "big data").
Australian Consulting Partners
January 1994 – January 1997 (3 years 1 month)
Australian Consulting Partners (ACP) was a small boutique strategic consultancy. I helped large Australian corporations with business strategy problems such as responding to new market entrants, dealing with government regulation, and identifying new market opportunities.
Partnership; 10,001+ employees; Management Consulting industry
June 1991 – January 1994 (2 years 8 months)
I worked full-time at McKinsey & Co whilst simultaneously studying full-time at University of Melbourne. At McKinsey I supported client teams that had more complex analytical needs than normal engagements. I built optimization models, did statistical analyses, developed data models, and made recommendations on analytical approaches for various consulting projects.
Jeremy Howard's Skills & Expertise
- Data mining
- Business Management
- Management Consulting
- Property & Casualty Insurance
- Email Hosting
- Machine Learning
- Credit Scoring
- Data Mining
- Natural Language Processing
- Predictive Analytics
- Big Data
- Predictive Modeling
- Data Analysis
- Statistical Modeling
- Artificial Intelligence
- Text Mining
- Pattern Recognition
- Data Visualization
- Neural Networks
- Computer Science
- Data Science
Jeremy Howard's Publications
Jeremy Howard's Languages
Chinese(Limited working proficiency)
Australian(Native or bilingual proficiency)
Jeremy Howard's Education
Harvard Kennedy School
2013 – 2013
1992 – 1995