Cornell Tech - Artificial Intelligence

The AI research group at Cornell Tech builds upon decades of AI leadership at Cornell University. Our award-winning researchers are driving discovery in new AI theories, methods, and applications—and improving technologies every day for communities, companies, cities, nonprofits, hospitals, schools, and citizens around the globe.

Yoav Artzi

Associate Professor

Yoav Artzi is an Associate Professor at Cornell Tech and in the Computer Science Department at Cornell University.

Research focus: Developing learning methods for natural language understanding and generation in automated interactive systems

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Shiri Azenkot

Associate Professor

Shiri Azenkot is an Associate Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion. She is a member of the Information Science field at Cornell University.

Research focus: Human-computer interaction and accessibility

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Serge Belongie

Visiting Professor

Serge Belongie is a Visiting Professor at Cornell Tech and in the Computer Science Department at Cornell University.

Research focus: Computer Vision, Machine Learning, Crowdsourcing and Human-in-the-Loop Computing

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Tanzeem Choudhury

Roger and Joelle Burnell Professor in Integrated Health and Technology

Tanzeem Choudhury is a professor at the Jacobs Technion-Cornell Institute at Cornell Tech in Information Sciences and a co-founder of HealthRhythms Inc. She currently serves as the Program Director for Jacobs Technion-Cornell Dual Master of Science Degrees with a Concentration in Health Tech.

Research focus: Develops mobile sensing systems for capturing, learning, and interpreting people’s context, activities and social networks

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Deborah Estrin

Associate Dean and Robert V. Tishman ’37 Professor

Deborah Estrin is the Robert V. Tishman ’37 Professor at Cornell Tech and in the Computer Science Department at Cornell University, and currently serves as an Associate Dean at Cornell Tech.

Research focus: Mobile systems and applications, including: mobile health, personal informatics, and privacy

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Wendy Ju

Associate Professor

Wendy Ju is an Associate Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion. She is a member of the Information Science field at Cornell University.

Research focus: Interaction design research

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Volodymyr Kuleshov

Joan Eliasoph, M.D. Professor

Volodymyr Kuleshov is an Assistant Professor at the Jacobs Technion-Cornell Institute at Cornell Tech where he holds the Joan Eliasoph, MD Chair, and in the Computer Science Department at Cornell University.

Research focus: Machine learning and its applications in scientific discovery, health, and sustainability

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Daniel D. Lee

Tisch University Professor of Electrical and Computer Engineering

Daniel Dongyuel Lee is a Professor at Cornell Tech and in the Electrical and Computer Engineering Department at Cornell University.

Research focus: Electrical and Computer Engineering

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Rajalakshmi Nandakumar

Assistant Professor

Rajalakshmi Nandakumar is an Assistant Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and in the Information Science department at Cornell University.

Research focus: Developing wireless sensing technologies that enable novel applications in various domains including mobile health, user interfaces and IoT networks

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Alexander Rush

Associate Professor

Alexander “Sasha” Rush is an Associate Professor at Cornell Tech, where he studies natural language processing and machine learning.

Research focus: Deep learning text generation, generative modeling, and structured prediction

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Noah Snavely

Professor

Noah Snavely is a Professor at Cornell Tech and in the Computer Science Department at Cornell University.

Research focus: Computer graphics and vision, in particular in recovering 3D structures from large community photo collections for use in graphics and visualization

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Ramin Zabih

Professor

Ramin Zabih is a Professor at Cornell Tech and in the Computer Science Department at Cornell University.

Research focus: Computer vision and its applications, especially in medicine

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Research Highlight: Daniel Lee on Machine Learning, AI, and Robotics

Daniel Lee, Professor of Electrical and Computer Engineering, focuses his research on machines learning directly from experience. Here, he discusses how building intelligent machines can help us to perform tasks that are dull, dirty, and dangerous.

Built at Cornell Tech

iNaturalist Species Suggestions

One of the world’s most popular nature apps, iNaturalist helps people around the world identify the plants and animals around them. Cornell Tech Professor Serge Belongie helped assemble and experiment on the app’s species classification and detection dataset using state-of-the-art computer vision classification and detection models.

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Merlin Bird Photo ID

Merlin Bird Photo ID is a mobile app that uses machine learning and computer vision to identify more than 3,000 bird species it “sees” in photos. The app was developed by Caltech and Cornell Tech computer vision researchers in partnership with the Cornell Lab of Ornithology and bird enthusiasts and is available on Android and iOS devices.

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OpenRec

OpenRec is an open-source and modular library for deep-learning based recommendation algorithms. State of the art recommendation algorithms are increasingly complex and often address specific use cases. OpenRec provides a modular architecture to adapt, extend, and compare algorithms across heterogeneous scenarios.

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