Apple Selected Northeastern Researcher for 2026 Fellowship

Northeastern doctoral student Le My Ha was named a recipient of the 2026 Apple AI/ML PhD Fellowship.

Updated on Oct. 9, 2026 in Artificial Intelligence

Apple Selected Northeastern Researcher for 2026 Fellowship

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Northeastern University researcher Le My Ha earned the 2026 Apple AI/ML PhD Fellowship, joining a global cohort of 20 doctoral students selected for the program. The fellowship supports her ongoing work in integrating artificial intelligence with wearable technology data.

Why it matters

The program recognizes emerging leaders in machine learning, providing scholars with the resources and industry connections necessary to advance their specific fields of study.

The fellowship provides recipients with two years of financial support, alongside internship opportunities at Apple and direct mentorship from industry researchers.

The players

Le My Ha

She is a doctoral researcher at Northeastern University who specializes in combining artificial intelligence with human-centered wearable data.

Apple

The technology corporation hosts an annual fellowship program to foster academic research in artificial intelligence and machine learning.

Northeastern University

This Boston-based research university serves as the host institution for the laboratory where Le My Ha conducts her doctoral studies.

The details

Le My Ha, who conducts research at the UbiWell Lab and the mHealth research group, focuses on systems that synthesize AI, wearable device metrics, and human-in-the-loop interactions. Candidates for this honor are nominated by their respective universities and evaluated by Apple based on the originality, leadership, and potential impact of their proposed research.

Le My Ha was born in 2000.
The researcher completed her undergraduate degree in 2022.
Apple awarded the fellowship to Le My Ha in 2026.

The Tech Race

This fellowship identifies top-tier academic talent to bridge the gap between theoretical machine learning research and consumer technology applications. By embedding doctoral researchers into its internal mentorship and internship structures, Apple secures early access to the innovations likely to define next-generation hardware.

The research conducted by fellowship recipients often informs the underlying algorithms and data-processing capabilities found in future consumer electronics. Users may eventually see these developments integrated into the health-tracking features and AI-driven interfaces of future wearable devices.

The takeaway

Academic fellowship programs act as a critical pipeline for major tech firms to foster long-term research relationships with university laboratories. These partnerships accelerate the translation of academic breakthroughs into functional features that ultimately reach the consumer market.