Assistant Professor, Information Systems & Analytics
Leavey School of Business, Santa Clara University
Contact:
Email: wlin6 AT scu DOT edu
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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
Research Interests: Healthcare Management (Chronic Disease Management, Telemedicine, Digital Health), Nonprofit Management (Blood Donation, Sustainability)
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]
Conference Presentations: POMS 2019, INFORMS Healthcare 2019, INFORMS 2019, CHITA 2020 Doctoral Consortium, CHITA 2020, ICSS 2020, UMD Workshop on AI and Analytics for Social Good, Leavey Research Seminar, POMS 2023, INFORMS Healthcare 2023 (FA13)
An earlier pre-print version of the paper is included in the WHO COVID-19 Database
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 (2023) What Drives Algorithm Use? An Empirical Analysis of Algorithm Use in Type 1 Diabetes Self-Management [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]
Teaching
At Santa Clara University (Instructor):
Machine Learning, Undergraduate/Graduate: Winter 2023/2024/2025
Data Analytics with Python, Undergraduate/Graduate: Fall 2022/2023/2024
Directed Reading (Applied Machine Learning): Fall 2023, Spring 2024
MS Industry Capstone Advisor: Winter/Spring 2024
Analytics Showdown Coordinator: Fall 2023
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)
Service
Reviewer: Management Science, Manufacturing & Service Operations Management, Production and Operations Management, MSOM Healthcare Operations Management SIG 2024, MSOM Supply Chain Management SIG 2024, International Conference for Information Systems 2020, Conference on Information Systems and Technology 2020
Health Applications Society Session Co-Chair:
Healthcare Operations Management Session Chair, POMS 2024
Health Information Technology Management Track Session Chair (Session WA08 - Advances in Technology-enabled Healthcare, WC08 - Advances in Healthcare Operations), INFORMS Healthcare 2023
Session Chair for Research Panel: AI Augmentation and Applications in Healthcare, CHITA 2022
Undergraduate Fellow, USC Center for Excellence in Teaching
Undergraduate Representative, Provost's Task Force on Teaching Effectiveness (report)
Selected Honors and Awards
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
Collaborations
I am always interested in collaborations to address interdisciplinary, high-impact problems. I have extensive experience working with healthcare institutions and data. Please reach out to me if you are interested.