Apple is proud to announce the 2021 recipients of the Apple Scholars in AI/ML 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 AI/ML

Eugene Bagdasaryan

Andreea Bobu

Enric Boix-Adserà

Alireza Fallah

Rachel Franz

Biwei Huang

Hongyu Ren

Jonas Rothfuss

Shiori Sagawa

Andrew Silva

Sana Tonekaboni

Joanne Truong

Zhenpei Yang

Wentao Zhang

Victor Zhong
The PhD fellowship in AI/ML is currently open to invited institutions. For more information, please email aiml_scholars@apple.com.
Related readings and updates.
Announcing the 2022 Apple Scholars in AI/ML
Apple is proud to announce the 2022 recipients of the Apple Scholars in AI/ML PhD fellowship.
Introducing Apple Scholars in AI/ML
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.