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
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 AIML is currently open to invited institutions. For more information, please email aiml_scholars@apple.com.
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Announcing the 2022 Apple Scholars in AIML
Apple is proud to announce the 2022 recipients of the Apple Scholars in AIML PhD fellowship.
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.