Apple Scholars is a program created to recognize the contributions of emerging leaders in computer science and engineering at the graduate and postgraduate level. As part of Apple Scholars, Apple is proud to announce the recipients of PhD fellowships in AI/ML. In recognition of these outstanding PhD students, each will receive support for their research and academic travel for two years, internship opportunities, and a two-year mentorship with an Apple researcher in their field. Nominated students were selected based on their innovative research, record as thought leaders and collaborators in their fields, and unique commitment to take risks and push the envelope in machine learning and AI.

Apple is excited to amplify cutting-edge machine learning research worldwide, covering a wide range of topics including health, on device and private machine learning, human centered design, and more. The selected Apple Scholars are advancing the field of machine learning and AI to push the boundaries of what’s possible, and Apple is committed to supporting the academic research community and their invaluable contributions to the world.

The PhD fellowship in AI/ML is currently open to invited institutions. For more information, please email aiml_scholars@apple.com.


Bingzhe Wu

Bingzhe Wu

Peking University
Privacy Preserving Machine Learning
Graham Gobieski

Graham Gobieski

Carnegie Mellon University
On Device Machine Learning
Ishwarya Ananthabhotla

Ishwarya Ananthabhotla

Massachusetts Institute of Technology
Speech and Natural Language
Jaya Narain

Jaya Narain

Massachusetts Institute of Technology
AI for Health and Wellness
Jeong Joon Park

Jeong Joon Park

University of Washington
Augmented Reality and Computer Vision
Mitchell Gordon

Mitchell Gordon

Stanford University
Human Centered Machine Learning
Tijana Zrnic

Tijana Zrnic

University of California, Berkeley
Fundamentals of Machine Learning
Xinyi Wang

Xinyi Wang

Carnegie Mellon University
Speech and Natural Language
Yahav Bechavod

Yahav Bechavod

The Hebrew University of Jerusalem
Privacy Preserving Machine Learning
Yang Song

Yang Song

Stanford University
Fundamentals of Machine Learning
Yifan Wang

Yifan Wang

ETH Zurich
Augmented Reality and Computer Vision
Yiren “Aaron” Zhao

Yiren “Aaron” Zhao

University of Cambridge
On Device Machine Learning

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See the full update