Lyle Ungar

Professor of Computer and Information Science, University of Pennsylvania
Twitter iconFacebook iconInstagram iconYoutube icon
Dr. Lyle Ungar helps organizations understand how computer automation, artificial intelligence (AI), and machine learning are changing their industries and our lives. Uniquely combining two areas of expertise — computer and information science with psychology and neuroscience — he specializes in applying machine learning and text mining methods to large collections of text to extract valuable information. A holder of eleven patents, Dr. Ungar is a Professor of Computer and Information Science at the University of Pennsylvania, and holds a number of other prestigious appointments.

Words as predictors. Professor Ungar researches how the words we use, especially in our social media, can predict both individual traits and trends and those of our communities. Mining the Facebook posts and tweets of tens of thousands of volunteers, he produces stunning word clouds that reveal the power of words to profile gender, age, personality, happiness, health behavior, and mortality.

The potential. Dr. Ungar is in the forefront of research into how we can improve the human condition using these new data mining tools. For example, Twitter can more accurately predict heart disease than such recognizable things as income and education (the highest correlation), smoking, obesity, or diabetes. In fact, it’s a better indicator than all these factors combined.

Forecasting. Dr. Ungar also applies these tools to improving forecasting and group decision-making. He has special expertise in healthcare behavior and geopolitical forecasting — what will happen in Russia or the Middle East?

Credentials. In addition to his UPenn professorship in Computer and Information Science, Dr. Ungar is professor of Genomics and Computational Biology (School of Medicine), Operations, Information and Decisions (Wharton School of Business), Psychology (School of Arts and Sciences), and Bioengineering. He was director of Penn’s Executive Masters of Technology Management for ten years and Associate Director of the Penn Center for Bioinformatics.

Dr. Lyle Ungar is a member of many associations and bodies devoted to advancing machine learning and related areas, including the Annenberg Public Policy Center, the Center for Cognitive Neuroscience, and the Institute for Biomedical Informatics.

Topics

How Computer Automation, AI, machine learning are Changing Your Industry

Show more

Videos

Using twitter to predict heart disease | TEDxPenn
Lyle Ungar

Books

This speaker does not have any books yet.

Articles

Newspaper icon
81-year-old runner is breaking records but says ‘the best is yet to come’
CNN
Newspaper icon
AI has the promise of radically changing healthcare
Health World
Newspaper icon
Can the additive tree expand machine learning in medicine?
Penn Today
Newspaper icon
Everything You Have Read About Contact Tracing Apps Is Wrong
Knowledge at Wharton
Newspaper icon
Everything you’ve read about contact tracing apps is wrong
Medium
Newspaper icon
Social media bots can be detected by their similar human traits
The Daily Pennsylvanian
Newspaper icon
Studying expressions of loneliness in individuals using twitter: an observational study
BMJ
Newspaper icon
The virtual assistant
Penn Today
Newspaper icon
There Are 3 Things We Have to Do to Get People Wearing Masks
The New York Times
Newspaper icon
Warning: Do Not Just Average Predictions!
Knowledge
Newspaper icon
Where Will Drug Overdoses Hit Next? Twitter May Offer Clues
The Wall Street Journal

Podcasts

Testimonials

This speaker does not have any Articles yet.
Book Lyle Ungar for your event
Request Availability
Download Bio
PDF icon
Artificial Intelligence
Big Data & Data Science
Technology
Social Media
Behavioral Sciences
Health Innovation
Technology Transforming Healthcare
Twitter iconFacebook iconInstagram iconYoutube icon

Related speakers

No related speakers.
By continuing to browse you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. If you do not wish to allow cookies, please see our cookie policy for instructions. Learn more