The field of data science continues to grow, and with it come thought leaders who contribute to the industry through outreach and education. Many of the data science professors teaching today are leaders in the big-data field, speaking at conferences, writing books, and even creating groundbreaking big-data developments themselves. Find out which schools boast the most influential leaders in the data science industry.
President’s Distinguished Professor of Information Technology & Management
Associate Professor, Mechanical & Aerospace Engineering
Toshiba Professor of Media Arts and Sciences, Director of Human Dynamics Lab, Director of MIT Media Lab Entrepreneurship Program
Founder of Databricks, Assistant Professor in EECS (in 2014 academic year)
Professor, Computer Science and Electrical Engineering Departments
Consulting Professor, Stanford School of Engineering
- Specialties: Management science and engineering
- Conferences: 2014 Informs Conference on Business Analytics & Operations Rese...
- Projects: SmartOrg
- Books: The Smart Organization: Creating Value Through Strategic R&D
- On big data’s impact on our lives: “Exploring data can be revealing. However, big data is not so good for decision-making. We have asked executives to look back at important decisions to see how much more data about the past would have helped, versus better judgements about the future. We get about 30% from past data and 70% from better judgements. Also, for big decisions it may be more important to adapt well and quickly as the future unfolds. So good data about the present and near past may loom in importance. Analysis of decision can direct data searches to the most beneficial areas. Of course, sometimes just playing with the data can produce valuable insights, but that is serendipity.”
Assistant Professor, Computer Science
Research Professor, Google Fellow, co-founder of Udacity
Professor of Astronomy