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Professor and Research Areas

Name

Email ID 

Research Area

Shivnath Babu

shivnath@cs.duke.edu

https://users.cs.duke.edu/~shivnath/
  • Data management for new application domains, e.g., elastic cloud computing and large-scale analytics with the Hadoop ecosystem
  • Architectures and algorithms for self-managing database systems

 

Michael J. Franklin

 

 

Franklin@cs.berkeley.edu

https://www.cs.berkeley.edu/~franklin/

 

  • Cloud-Computing/Distributed Systems
  • Mobile and Pervasive Computing
  • Data Streams/Continuous Analytics
  • Large-Scale Data Integration
  • Database System Architecture and Performance

Tom Davenport

President’s Distinguished Professor of Information Technology & Management

Cornell University

Hod Lipson

Associate Professor, Mechanical & Aerospace Engineering

Massachusetts Institute of Technology (MIT)

Alex Pentland

Toshiba Professor of Media Arts and Sciences, Director of Human Dynamics Lab, Director of MIT Media Lab Entrepreneurship Program

Stanford University

Hector Garcia-Molina

Professor, Computer Science and Electrical Engineering Departments

James Matheson

Consulting Professor, Stanford School of Engineering
  • 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.”

Chris Re

Assistant Professor, Computer Science

Sebastian Thrun

Research Professor, Google Fellow, co-founder of Udacity
  • Recommendation for learning about big data: “Udacity has a data science track built by industry. Leading companies like Cloudera, Facebook, and MongoDB have contributed courses. Learn from the leading experts in the world. All content is accessible for free, and every student can sign up for our classes.”

University of California-Berkeley

Joshua Bloom

Professor of Astronomy

Michael J. Franklin

Professor of Computer Science

Joseph Hellerstein

Chancellor’s Professor, EECS Computer Science Division

AnnaLee Saxenian

Dean and Professor, School of Information
  • On big data and how it touches our lives: “The impacts of big data are currently visible in the worlds of social media, technology, advertising and marketing, and finance. Big data is also many science and engineering fields like physics, biology, and astronomy. It will increasingly be visible in in health care, schools, government, and in a wide range of older industries, from autos to aerospace. Virtually every organization will want to be able to work with their data.Big data is working behind the scenes when we surf the web, use social media, and even email–whether on our mobile devices or computers. Big data is being used in our financial transactions and in our cars. It is really widespread–and soon will become ubiquitous.”

Ion Stoica

Professor, Computer Science Division
  • On big data’s largest impact on our lives: “Today, more and more companies collect and use data to provide better services to their users (e.g., Amazon), improve safety (e.g., Boeing), improve efficiency (e.g., General Electric, PG&E), detect fraud (e.g., Paypal), and, for better or worse, optimize ad targeting. In the future, we will continue to see improvements in all these areas, and, in addition, we will see great strides in new areas, such as medicine (e.g., cancer genomics), energy conservation, and environment protection.”

Bin Yu

Chancellor’s Professor, Department of Statistics, Department of Electrical Engineering & Computer Science

Matei Zaharia

Founder of Databricks, Assistant Professor in EECS (in 2014 academic year)

University of Massachusetts

Jeffrey M. Keisler

Professor of Management Information Systems
  • On big data’s largest impact: “In recent years, big data was finding a lot of small uses, such as figuring out which pop-up ad to show you on a web page. More recently, it has been used to find efficiencies in business processes, which has a lot of impact in the economy. Big data also plays a role in national security, of course. I don’t think it has yet had tremendous impact on the most important decisions companies and our society makes, but it has the potential to and it should. For example, the debate on healthcare reform involved a lot of conjecture on a wide range of issues about what the likely impacts would be from various changes to the system. Answers to a lot of the questions that were asked or should have been asked might have been found in the existing data covering the experience of many millions of Americans. This would have been possible if enough of the circumstances of each individual case were encoded and analysts were able to extract and compare all the micro experiments of policy variations that happen every day. I would like to see the methods of decision analysis in particular used as a front end to large policy and strategic decisions that would provide a framework for identifying and incorporating the most valuable information to extract from the sea of data.”

University of Virginia

John Elder

Adjunct Professor, Data Mining Consultant at Elder Research Incorporated

Yael Grushka-Cockayne

Assistant Professor of Business Administration

University of Washington

Cecilia Aragon

Associate Professor, Department of Human Centered Design & Engineering
  • Recommendation for learning more about big data: “Some good resources for learning about big data can be found here in a proposed data science curriculum that I developed along with the eScience Institute. These are the key skills that market research and scientific experience have taught us are critical to data-intensive science. We are also currently developing big data PhD tracks across multiple departments in the University of Washington.”

Magdalena Balazinska

Associate Professor, Computer Science and Engineering
  • On how big data is affecting our lives: “One of the most exciting ways in which big data is affecting our lives is by accelerating discovery in pretty much all sciences. Here’s a very short video with several of our faculty talking about the impact of Big Data on their fields.”

Carlos Guestrin

Amazon Professor of Machine Learning, Associate Professor in Computer Science and Engineering, Adjunct Professor in Statistics

Jeffrey Heer

Associate Professor, Computer Science and Engineering