Assistant Professor, Information Systems & Analytics
Leavey School of Business, Santa Clara University
Contact:
Email: wlin6 AT scu DOT edu
CV | SCU Webpage | ORC | Google Scholar | SSRN | LinkedIn | X(Twitter)
Welcome!
My name is Wilson Lin and I am an Assistant Professor in Information Systems & Analytics at the Santa Clara University Leavey School of Business.
My research focuses on improving human interactions with humans, algorithms, and technologies to enable better outcomes. I use empirical methods to study such human-centric questions in healthcare management and nonprofit management.
I earned my PhD in Business Administration (Data Sciences and Operations) at the USC Marshall School of Business. Prior to my PhD, I earned a M.S. in Operations Research Engineering and B.S. in Industrial and Systems Engineering at the University of Southern California.
Research Interests: Healthcare Management, Nonprofit Operations, Empirical Operations, Behavioral Operations
Published Papers
Wilson Lin, Susan F. Lu, and Tianshu Sun (2023) Worker Experience and Donor Heterogeneity: The Impact of Charitable Workers on Donors’ Blood Donation Decisions. Manufacturing & Service Operations Management, 25(3):939-957. [.pdf] [onlineappx] [SSRN] [ResearchGate]
Sirisha Mohan, Wilson Lin, Francis Reyes Orozco, Jehni Robinson, and Anjali Mahoney (2022) Patient Perceptions of Video Visits in a Fee-for-Service Model. Journal of the American Board of Family Medicine, 35 (3) 497-506. [.pdf]
Working Papers
Wilson Lin, Song-Hee Kim, and Jordan Tong (2025) Revisiting the Cause of Algorithm Aversion: Algorithm Feedback Asymmetry in the Field and Lab [SSRN]
Wilson Lin, Lauren X. Lu, Susan F. Lu (2025) Do Inspection Delays Lead to Quality Decline? Evidence from U.S. Nursing Homes [SSRN]
Sirisha Mohan, Wilson Lin, Anjali Mahoney, and Jehni Robinson (2020) Transforming Clinical Workflow for Telemedicine Visits in the COVID-19 Pandemic. Annals of Family Medicine Pre-Print COVID-19 Collection [.pdf]
At Santa Clara University (Instructor):
Machine Learning, Undergraduate/Graduate: Winter 2023-2025
Data Analytics/Science with Python, Undergraduate/Graduate: Fall 2022-2025
MS Industry Capstone Advisor: Winter/Spring 2024-2025
Directed Reading (Applied Machine Learning): Fall 2023, Spring 2024
Analytics Showdown Coordinator: Fall 2023 (with Sauti East Africa)
Guest Lecturer: Analytics (EMBA), Fall 2023
DataCamp supports my analytics courses.
At the University of Southern California:
Operations Management, Undergraduate: Fall 2020 (Teaching Assistant), Spring 2021 (Instructor), Spring 2022 (Guest Instructor)
Engineering Honors Colloquium, Undergraduate: Spring 2016 (Student Moderator)
Ad-hoc Journal Reviewer:
Ad-hoc Conference/Paper Competition Reviewer:
MSOM Healthcare Operations Management SIG 2024/2025, Technology, Innovation, and Entrepreneurship SIG 2025, Behavioral Operations 2025, Supply Chain Management SIG 2024
INFORMS BOM Best Working Paper Competition 2025
International Conference for Information Systems (ICIS - 2025, 2020)
Program Committee Member, Conference on Information Systems and Technology (CIST - 2025, 2024, 2023)
Session Chair:
Undergraduate Fellow, USC Center for Excellence in Teaching
Undergraduate Representative, Provost's Task Force on Teaching Effectiveness (report)
Management Science Meritorious Service Award, 2024
Leavey School of Business Faculty Award (Scholarship and Teaching), 2024
Leavey Research Grant
SCU AI Curricular Development Grant: Incorporating Generative AI into Data Science Courses
Pandemic-era Research Reboot Award
Marshall Fellowship Recipient
USC Provost’s Undergraduate Research Fellowship Recipient
Undergraduate Scholarships from Trojan Guild of Los Angeles, USC Alumni Club of the San Gabriel Valley, Gardner Bickford, Edison, Rose Hills Foundation
I am always interested in collaborations to address interdisciplinary and high-impact problems. I have extensive experience working with healthcare institutions and data. Please reach out to me if you are interested.