Dan Adler, Joy Ming, and Pegah Moradi, three doctoral students in information science, have each received 2021 NSF Graduate Research Fellowships.
Adler’s research centers on creating novel, interpretable algorithms for remote symptom monitoring of chronic conditions, specifically mental and behavioral health. He’s a member of the People-Aware Computing Lab and the Precision Behavioral Health Initiative, both directed by his advisor, Dr. Tanzeem Choudhury, the Roger and Joelle Burnell Professor in Integrated Health and Technology at the Jacobs Technion-Cornell Institute at Cornell Tech in Information Sciences.
2021-NSF-Grad-Fellows-Adler-Ming-Moradi.jpg
Ming studies the questions of power and social justice as they relate to technology. Her work intersects disability justice and global health equity with design and research justice, human-computer interaction (HCI), and information and communication technologies for development (ICTD). Ming is advised by Aditya Vashistha and Nicola Dell, both assistant professors of information science.
Moradi examines disparate outcomes of AI-driven technological change for work and workers. Pegah has previously held research fellowships at the Harvard Data Privacy Lab and the Georgetown University Security and Software Engineering Research Center (now Cyber SMART). Cristobal Cheyre, assistant professor in information science, is her advisor.
The NSF Graduate Research Fellowship Program recognizes and supports outstanding graduate students in NSF-supported STEM disciplines. The fellowship includes three years of financial support, including an annual stipend of $34,000 and a cost of education allowance of $12,000 to the institution.