Awardee Lists

Fordham AI Research Grant (FAIR) 2025-2026:

The FAIR initiative was designed to provide pilot funds to stimulate interdisciplinary AI research, increase Fordham's visibility in this field, and enable faculty to leverage preliminary results from this funding to secure larger external awards, with emphasis on but not limited to AI and ethics, AI and law, AI and community engagement, AI and security, AI and systems, AI and mathematics, and AI and humanities. The FAIR awardees for the 2025-2026 academic year appear below.

FAIR 2025-2026 PI	Co-PI	FAIR Project
Navid Asgari Associate Professor, Grose Family Endowed Chair in Business, Strategy & Statistics Area, GSB	N/A	“When copilot crashes the team: epistemic disruption in Ai-augmented development”
Juntao Chen Assistant Professor, Department of Computer and Information Sciences, A&S	N/A	“Advancing reinforcement learning for decision-making in complex environment”
Xu Han Assistant Professor, Information Technology & Operations Area, GSB	N/A	“Fair mind: building human-aligned AI for ethical decision-making in complaint resolution”
Derek Lief Assistant Professor, Strategy and Statistics, GSB	Carlos Inoue, University of Illinois Urbana-Champaign, Gies College of Business & Mijeong Kwon, Rice University, Jones Graduate School of Business	“From data to dialogue: artificial intelligence and the formation of provider-client relationships”
Yan Meng Associate Professor, Accounting and Taxation, GSB	Yilu Zhou Associate Professor, Information, Technology, and Operations, GSB	“Does political ideology influence EPA rulemaking: finding evidence from political lobbying and public comments using novel LLM approach”
Sarah Wu Professor, Information, Technology, and Operations, GSB	Dongli Zhang Professor, Information, Technology, and Operations, GSB	“Balancing human empowerment and technological intelligence: the dual impact of AI on quality management practices”

Faculty Research Abroad Program (FRAP) participants in 2026

The Fordham University Faculty Research Abroad Program (FRAP) was designed to facilitate the development of research collaborations between Fordham University and international Jesuit or other universities. In 2026, FRAP returns to its original form of meeting abroad with a delegation of selected Fordham researchers. FRAP has been augmented by the formation of a new alliance among domestic and international Jesuit universities called the Global Research Alliance of Jesuit Universities (GRAJU). During March 9-12, 2026, representatives from more than 30 Jesuit Universities will attend the inaugural symposium at Ateneo de Manila in the Philippines. The title of the symposium is “The AI Frontier and the Distinctives of Global Jesuit Higher Education.” Fordham took a leading role in organizing this nascent organization with a current membership of more than 20 Jesuit research universities.

Fordham researchers selected to attend this symposium are listed below.

Name	Rank	School Affiliation	FRAP Topic of Research
Aguilar, Jemel	Associate Professor	Graduate School of Social Service	“Oppression, society, and social action”
Blumberg, Fran	Professor	Graduate School of Education	"AI literacy initiatives at Jesuit institutions"
Chiang, Robert	Professor	Gabelli School of Business, Information, Technology and Operations	"Monitoring and indemnification mechanisms for generative AI copyright infringements"
Cho, Su-Je	Professor	Graduate School of Education	"Generative AI, moral responsibility, and fairness: investigating ethical reasoning in pre-service educators"
Donovan, Gregory	Associate Professor	A&S, Communications and Media Studies	"Countering alienation with accompaniment: the public utility of Jesuit higher education in an age of proprietary machine learning"
Goldkind, Lauri	Professor	Graduate School of Social Service	"Cura Personalis in the age of the machine: rethinking the higher education imaginary for digital discernment"
Olivier, Sylvain	Professor	School of Law	"AI for people"
Ren, Jie	Associate Professor	Gabelli School of Business, Information, Technology and Operations	"Cultural orientations and the human–AI learning divide: how collectivist and individualist students perceive AI for learning and connection"
Zhang, Dongli	Associate Professor	Gabelli School of Business, Information, Technology and Operations	"The role of AI in supply chain risk management"
Zhou, Yilu	Associate Professor	Gabelli School of Business, Information, Technology and Operations	"Multi-modal AI framework for mobile App maturity classification for children safety"

High Performance Computing Cluster (HPC) awardees

The Office of Research and the Office of Information Technology have piloted a new program of support for computer-intensive research projects. IT has built a high-performance computing (HPC) cluster to help support research and sponsored research projects by granting access to tenured and tenure-track faculty and other researchers. The goals of this HPC initiative are to:

Provide computational resources directly to researchers;
Use project outcomes, feedback, and patterns to design simple and effective means of connecting faculty with additional resources, improved workflows in the future, and identify future needs.

The list of researchers who were granted access to the HPC cluster to date, including students, faculty, and directors, is listed below.

Name	Title	Department/School
Navid Asgari	Professor	Strategy & Statistics, Gabelli School of Business
Danielle del Castillo	Student	Biological Sciences, A&S
Xing Chen	Student	Psychology, A&S
Thomas John Daniels	Director	Louis Calder Center
Leah Feuerstahler	Associate Professor	Psychology, A&S
Johanna Francis	Associate Professor	Economics, A&S
Lauri Goldkind	Professor	GSS
Evon Hekkala	Professor	Biological Sciences, A&S
Kim Hughes	Student	Biological Sciences, A&S
Minju Kim	Student	Biological Sciences, A&S
Seoyoung Kim	Assistant Professor	Marketing, Gabelli School of Business
Daniel Walter Kohn	Lecturer	Chemistry & Biochemistry, A&S
Ar Kornreich	Student	Biological Sciences, A&S
Xiang Li	Assistant Professor	Finance & Business Economics, Gabelli School of Business
Yang Liu	Assistant Professor	Strategy & Statistics, Gabelli School of Business
Ghaith Khmeydan	Student	Gabelli School of Business
Danny Lorenzi	Student	Psychology, A&S
Subha Mani	Professor	Economics, A&S
Alfonso J. Martinez	Assistant Professor	Psychology, A&S
Molly McCargar	Student	Biological Sciences, A&S
Opalhawaye Agatha Nyamulani	Student	Psychology, A&S
Sadie Olsen	Student	Computer & Information Sciences, A&S
Panthiv Patel	Student	Computer & Information Sciences, A&S
Camelia Prodan	Professor	Physics and Engineering Physics, A&S
Julieth Saenz-Molina	Student	Economics, A&S
Sophia Tintori	Assistant Professor	Biological Sciences, A&S
Lin Tong	Associate Professor	Finance & Business Economics, Gabelli School of Business
Wenqi Wei	Assistant Professor	Computer and Information Sciences, A&S
Yilu Zhou	Associate Professor	Information, Technology & Operations, Gabelli School of Business