Apple is proud to announce the 2021 recipients of the Apple Scholars in AIML PhD fellowship. Each Scholar receives two years of funding as they pursue their PhD, internship opportunities, and a two-year mentorship with an Apple researcher in their field. Nominated students were selected based on their innovative research, their record as thought leaders and collaborators in their fields, and their unique commitment to take risks and push the envelope in machine learning and AI.

The Apple Scholars program was created to recognize the contributions of emerging leaders in computer science and engineering at the graduate and postgraduate level.

Apple is committed to amplifying cutting-edge machine learning research worldwide, covering a wide range of topics including on-device and private machine learning, accessibility, and health. 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 2021 Apple Scholars in AIML


Eugene Bagdasaryan

Eugene Bagdasaryan

Cornell University
Privacy Preserving Machine Learning
Andreea Bobu

Andreea Bobu

University of California, Berkeley
Human-Centered Machine Learning
Enric Boix-Adserà

Enric Boix-Adserà

Massachusetts Institute of Technology
Fundamentals of Machine Learning
Alireza Fallah

Alireza Fallah

Massachusetts Institute of Technology
Fundamentals of Machine Learning
Rachel Franz

Rachel Franz

University of Washington
AI for Accessibility
Biwei Huang

Biwei Huang

Carnegie Mellon University
Fundamentals of Machine Learning
Hongyu Ren

Hongyu Ren

Stanford University
Graph Representation Learning
Jonas Rothfuss

Jonas Rothfuss

ETH Zurich
Fundamentals of Machine Learning
Shiori Sagawa

Shiori Sagawa

Stanford University
Fundamentals of Machine Learning
Andrew Silva

Andrew Silva

Georgia Institute of Technology
Human-Centered Machine Learning
Sana Tonekaboni

Sana Tonekaboni

University of Toronto
AI for Health and Wellness
Joanne Truong

Joanne Truong

Georgia Institute of Technology
AI for Autonomous Systems
Zhenpei Yang

Zhenpei Yang

University of Texas, Austin
Computer Vision and Augmented Reality
Wentao Zhang

Wentao Zhang

Peking University
AI for Manufacturing
Victor Zhong

Victor Zhong

University of Washington
Speech and Natural Language

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

Learn more about the inaugural class of Apple Scholars

Related readings and updates.

Announcing the 2022 Apple Scholars in AIML

Apple is proud to announce the 2022 recipients of the Apple Scholars in AIML PhD fellowship.

See program details

Introducing Apple Scholars in AIML

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 AIML. 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.

See program details