Ben Waber
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Ben Waber Email & Phone Number

Intersection of people, management, data, AI, and corporate governance at MIT Media Lab
Location: Cambridge, Massachusetts, United States 24 work roles 3 schools
1 work email found @media.mit.edu 6 phones found area 617, 312, and 857 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 6 phones

Work email b****@media.mit.edu
Direct phone (617) ***-****
LinkedIn Profile matched
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Current company
Role
Intersection of people, management, data, AI, and corporate governance
Location
Cambridge, Massachusetts, United States

Who is Ben Waber? Overview

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Quick answer

Ben Waber is listed as Intersection of people, management, data, AI, and corporate governance at MIT Media Lab, based in Cambridge, Massachusetts, United States. AeroLeads shows a work email signal at media.mit.edu, phone signal with area code 617, 312, 857, and a matched LinkedIn profile for Ben Waber.

Ben Waber previously worked as Visiting Scientist/Lecturer at Mit Media Lab and Honorary Chairman at People Analytics & Hr Technology Association Japan. Ben Waber holds Phd, Media Arts And Sciences from Massachusetts Institute Of Technology.

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{first_initial}{last}@media.mit.edu
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Profile bio

About Ben Waber

I am recognized worldwide as an expert in people analytics, collaboration, and wearable technology. I’m particularly passionate about the power of behavioral data and analytics to improve organizations and how people work in general. I have been featured in Wired, CNN, and The New York Times, among other outlets, and my work was selected for the Harvard Business Review's List of Breakthrough Ideas and the Technology Review's Top 10 Emerging Technologies. I have given invited talks at some of the world's leading organizations such as the UN, World Economic Forum, Google, and Tencent, and my writing frequently appears in leading publications such as HBR, Wired Japan, and Bloomberg. My book People Analytics, is an international best seller.

Listed skills include Machine Learning, Computer Science, Analytics, Data Analysis, and 17 others.

Current workplace

Ben Waber's current company

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MIT Media Lab
Mit Media Lab
Intersection of people, management, data, AI, and corporate governance
AeroLeads page
24 roles

Ben Waber work experience

A career timeline built from the work history available for this profile.

Visiting Scientist/Lecturer

Current

Cambridge, Massachusetts, US

Teaching executive education courses, collaborating with researchers, and advising sponsor organizations on workplace analytics, AI, and management.

May 2011 - Present

Honorary Chairman

Current

As the honorary chairman of the People Analytics Association, I collaborate with leading experts, government officials, and executives in Japan to help shape the people analytics industry and larger people management agenda.

Feb 2018 - Present

Visiting Senior Scientist

Current

Kyoto, Kyoto, JP

I am advising a number of research groups on initiatives related to regional economic development and improving outcomes for an aging society.

Jan 2024 - Present

External Scientific Advisor

Current

Dublin, IE

Jun 2024 - Present

Co-Founder And Advisor

Current

Boston, Massachusetts, US

Mar 2024 - Present

President And Co-Founder

Boston, Massachusetts, US

Leading a behavioral analytics firm that helps companies improve by understanding their people. With unmatched technology from the MIT Media Lab, we combine wearable sensors and digital data to deliver people analytics and insights to our customers.

Oct 2019 - Mar 2024

Ceo And Co-Founder

Boston, Massachusetts, US

Leading a behavioral analytics firm that uses sensing technology and large scale electronic data analysis to transform organizations. Responsible for sales, strategy, and product development of our wearable sensing and people analytics platform, which analyzes more face-to-face interaction data than any system in history.

Jun 2011 - Oct 2019

Advisory Board Member

Current

I advise this leading Japanese people analytics startup on strategy, science, and management.

Jan 2019 - Present

Technology Vision External Advisory Board

Current

Dublin 2, IE

Accenture’s Technology Vision is developed annually by the Accenture Technology Labs. For nearly 15 years, Accenture has been looking across the enterprise landscape to identify emerging IT trends that hold the greatest potential to disrupt businesses and industries.The External Advisory Board is a group of senior business and technology leaders who help.

May 2014 - Present

Advisor

Jun 2022 - Jan 2024

Contributor

New York, NY, US

I write about people analytics, management, and work for Quartz, the business site of The Atlantic.

Oct 2017 - Dec 2019

Columnist

New York, New York, US

Providing thought leadership on topics spanning management, people analytics, and wearables.

Jan 2014 - Jan 2018

Senior Researcher

Boston, MA, US

Lead a research team studying the impact of millisecond level behaviors on group performance.

May 2011 - Jul 2012

Graduate Student Affliate

Cambridge, Massachusetts, US

Sep 2009 - May 2011

Research Fellow

Cambridge, Massachusetts, US

Research Fellow at the Program for Networked Governance in the Kennedy School of Government

Sep 2008 - Sep 2009

Research Fellow

Harvard University, Program On Networked Governance
Sep 2008 - Jun 2009

Intern

Exton, PA, US

Improved organizational communication patterns using massive sensor and e-mail datasets to enhance the performance and reduce turnover for a two-thousand person sales organization.

Jan 2009 - Feb 2009

Graduate Level Co-Op

Armonk, New York, NY, US

Spearheaded initiative to automatically manage software development teams using technical dependency and digital communication data, demonstrating savings of over $100 million in development costs.

May 2008 - Aug 2008

Intern

Chiyoda-ku, Tokyo, JP

Reduced information bottlenecks by creating a method to detect obstacles to information flow by mining electronic data sources.

Jul 2006 - Aug 2006

Student

Boston University, Computer Science Dept.
Sep 2002 - Jun 2006

Urop

Boston, MA, US

Created an online interface to the largest annotated database of American Sign Language in the world. Created a new query language so that this data could be quickly and efficiently accessed, as well as processed linguistic data to make segmented video easily available.

May 2005 - May 2006

Visiting Researcher

Naval Research Laboratory

Developed new methods for face recognition and autonomous air vehicle navigation.

May 2004 - Aug 2004
3 education records

Ben Waber education

Phd, Media Arts And Sciences

Massachusetts Institute Of Technology

Ba, Computer Science

Boston University

Ma, Computer Science

Boston University
FAQ

Frequently asked questions about Ben Waber

Quick answers generated from the profile data available on this page.

What company does Ben Waber work for?

Ben Waber works for MIT Media Lab.

What is Ben Waber's role at MIT Media Lab?

Ben Waber is listed as Intersection of people, management, data, AI, and corporate governance at MIT Media Lab.

What is Ben Waber's email address?

AeroLeads has found 1 work email signal at @media.mit.edu for Ben Waber at MIT Media Lab.

What is Ben Waber's phone number?

AeroLeads has found 6 phone signal(s) with area code 617, 312, 857 for Ben Waber at MIT Media Lab.

Where is Ben Waber based?

Ben Waber is based in Cambridge, Massachusetts, United States while working with MIT Media Lab.

What companies has Ben Waber worked for?

Ben Waber has worked for Mit Media Lab, People Analytics & Hr Technology Association Japan, Ritsumeikan University, Welliba, and Humanyze.

How can I contact Ben Waber?

You can use AeroLeads to view verified contact signals for Ben Waber at MIT Media Lab, including work email, phone, and LinkedIn data when available.

What schools did Ben Waber attend?

Ben Waber holds Phd, Media Arts And Sciences from Massachusetts Institute Of Technology.

What skills is Ben Waber known for?

Ben Waber is listed with skills including Machine Learning, Computer Science, Analytics, Data Analysis, Research, Artificial Intelligence, Entrepreneurship, and Data Mining.

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