Jeremy Howard

Jeremy Howard

CEO @ Enlitic; Faculty @ Singularity University

San Francisco Bay Area

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Jeremy Howard's Overview

  • Young Global Leader at World Economic Forum

500+ connections


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 2014Present (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.

Data Strategist

Khosla Ventures

Privately Held; 11-50 employees; Venture Capital & Private Equity industry

April 2014Present (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 2012Present (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

World Economic Forum

Nonprofit; 201-500 employees; Nonprofit Organization Management industry

2013Present (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

University of San Francisco

Educational Institution; 1001-5000 employees; Higher Education industry

January 2014July 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 2011October 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 1999May 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 1999August 2008 (9 years 3 months)

I came up with the idea for Optimal Decisions Group ( 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".


AT Kearney

Partnership; 1001-5000 employees; Management Consulting industry

January 1997June 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 1994January 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.

Analytical Specialist

McKinsey and Company

Partnership; 10,001+ employees; Management Consulting industry

June 1991January 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

  1. Data mining
  2. Programming
  3. Business Management
  4. Management Consulting
  5. Entrepreneurship
  6. Property & Casualty Insurance
  7. Email Hosting
  8. Machine Learning
  9. Optimization
  10. Databases
  11. Credit Scoring
  12. Data Mining
  13. Optimizations
  14. Analytics
  15. Natural Language Processing
  16. R
  17. Predictive Analytics
  18. Big Data
  19. Predictive Modeling
  20. Python
  21. Data Analysis
  22. Statistics
  23. Start-ups
  24. Algorithms
  25. Management
  26. Statistical Modeling
  27. Artificial Intelligence
  28. Text Mining
  29. Pattern Recognition
  30. Data Visualization
  31. Neural Networks
  32. Computer Science
  33. Data Science
  34. Strategy
  35. Leadership

View All (35) Skills View Fewer Skills

Jeremy Howard's Publications

  • Designing great data products

    • O'Reilly Radar
    • March 28, 2012

    The Drivetrain Approach: A four-step process for building data products.

Jeremy Howard's Languages

  • Chinese

    (Limited working proficiency)
  • Australian

    (Native or bilingual proficiency)

Jeremy Howard's Education

Harvard Kennedy School


University of Melbourne


Jeremy Howard's Additional Information

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