2019 TASH Conference has ended
Each year, the TASH Conference brings together our constituents to share resources and success stories, learn about field-driven best practices, and network within a community engaged in shared values. The Conference is attended by passionate leaders, experts, and advocates from every corner of the disability community. Conference attendees are influential in their fields and communities, and play an important role in the provision of services and supports for the millions of individuals and organizations around the world; and include professors and researchers from leading institutions; those involved in local, state, and federal governments and public policy; special and general educators, and school administrators; self-advocates, adult service providers; students, family members, and many others.  This year’s conference theme, Building Diverse and Inclusive Communities, reminds us that equity, opportunity, and inclusion relies on the input of broad perspectives and experiences.

avatar for Amy Gunty

Amy Gunty

University of Minnesota
Minneapolis, MN
Amy Gunty is a researcher in the Institute on Community Integration and a doctoral student in the Department of Family Social Science. She has worked with children and families for 20 years, 14 of which she has spent supporting children with developmental disabilities or emotional and behavioral disorders and their families. During this time, she has fulfilled many roles, including: preschool teacher, direct support professional, case manager, individual and family therapist, and day treatment clinician. She has been working in research for 12 years, with a focus on resilience; well-being; and youth and families, particularly in the context of disability. Her work has included coordinating and acting as methodologist and data analyst for randomized controlled trials (RCTs) of interventions, correlational and longitudinal studies, qualitative research projects, and policy analysis. She is proficient in multiple advanced statistical analyses including linear mixed-effects models (LME; also known as hierarchical linear models [HLM]), mediation and moderation analyses, and finite mixture models (including latent class analysis [LCA] and latent profile analysis [LPA]). Furthermore, she teaches graduate-level research methods and program evaluation courses in the School of Social Work at the University of Minnesota. Finally, she has a strong and significant history of project management and coordination on a variety of projects at the local, regional, and national levels.