Research
Overview
I am a social scientist studying how artificial intelligence reshapes human judgment, collaboration, and decision-making in organizations and public systems. My work spans two research streams: (1) Teaming & Human–AI Research and (2) Disability & Policy Research. Across both streams, I use experimental, survey, and computational methods to inform the design and governance of equitable, human-centered decision making. CV (PDF)
Teaming & Human–AI Research
This stream examines how people interact with, evaluate, and collaborate with algorithmic systems in high-stakes organizational contexts, particularly hiring and personnel evaluation. I study when and why individuals rely on algorithmic advice, how AI use shapes perceptions of effort and competence, and how transparency, explanation, and autonomy influence trust and agency in human–AI teams.
Key themes
- Algorithmic advice utilization (appreciation vs. aversion)
- Effort and competence attribution in AI-assisted work
- Trust calibration, transparency, and explanation
- Recruiter agency and human–AI teaming dynamics
- Cultural variation in AI evaluation and adoption
Selected Outputs
Journal Articles
- Technology-driven interventions in personnel selection: A case study on building effective research-practice bridges (2025)
- Personnel Review — DOI/PDF
Working Papers
- Algorithmic Advice in HR Screening: Evidence of Algorithm Appreciation Over Aversion for Candidates with Disabilities **
- The AI Stigma: Attributional Consequences of Large Language Model Use in Collaborative Contexts
Under Review
- Cultural Work Ethics and AI Adoption: How ChatGPT Use Shapes Performance Evaluations Through Effort and Competence Perceptions Across Four Countries
Disability & Policy Research
This stream focuses on disability inclusion, housing stability, and social welfare policy, with particular attention to how institutional and technological systems shape material conditions and life outcomes for people with disabilities. Using large national datasets and policy-relevant evidence, I analyze housing quality, neighborhood conditions, and health outcomes, as well as labor market and accommodation practices.
Key themes
- Disability, housing quality, and health outcomes
- Long-term services and supports (LTSS) and housing stability
- Inclusive employment and workplace accommodations
- Public policy design for equity and access
- Technology’s role in reinforcing or mitigating structural inequality
Selected Outputs
Journal Articles
- Housing stability for households with LTSS needs in America: Contrasting pre-pandemic housing data from 2017 with data from 2021 (2025)
- Disability and Health Journal — DOI/PDF
- Severe housing and neighborhood inequities of households with disabled members and households in need of long-term services and supports (2022)
- Housing and Society — DOI/PDF
Under Review
- Federal rental housing assistance mitigates some housing-related disparities for households that include a person with a disability: Evidence from the 2023 American Housing Survey
Reports
- Mobility Device User Survey: A Brief Summary Report (2024)
- Disability Rights Education & Defense Fund
Tools & Applied Research
-
Qually — LLM Bias Auditing Tool
- Open-source application to audit large language models for biases related to public policy questions. GitHub
-
CHC Matching App
- RShiny application for statistical matching (propensity score, Mahalanobis, optimal matching) with balance diagnostics and correlation tools. GitHub
Affiliations
- Institute on Disability, University of New Hampshire — Postdoctoral Research Fellow
- Racial Justice × Technology Policy Center (Brandeis University) — Expert Technical Advisor / Research Affiliate
- Indian Institute of Development Management (IIDM) — Research Consultant