Andrew H. Kim is a dual-licensed clinician specializing in the treatment of co-occurring mental health and substance use disorders. His clinical work centers the therapeutic relationship as the foundation for meaningful, lasting change.
Andrew works from an integrative framework that draws on Psychodynamic therapy — including Internal Family Systems (IFS), Jungian principles, and object-relations theory — as well as Existential Psychotherapy, Cognitive Behavioral Therapy (CBT), Dialectical Behavior Therapy (DBT), Acceptance and Commitment Therapy (ACT), Narrative Therapy, and trauma-informed practice. His training across multiple modalities allows him to move fluidly between structured, skills-based work and deeper relational exploration, always in service of what each client needs.
Andrew specializes in co-occurring disorders — the intersection of mental health conditions such as anxiety, depression, and trauma with substance use and behavioral addictions. He also works with individuals navigating grief, life transitions, identity, relationship difficulties, and serious mental illness. His clinical experience spans outpatient, intensive outpatient (IOP), partial hospitalization (PHP), and outpatient detox settings. He has worked with diverse adult populations — including professionals in high-stakes corporate environments, young adults to older adults, members of the LGBTQI+ community, and clients from a wide range of cultural backgrounds.
Andrew is a lecturer at Rutgers University School of Social Work, where he teaches clinical courses at the MSW level — including Foundations Practice I and Advanced Clinical Social Work II with Individuals, Families and Groups — and has served as a lab instructor for doctoral-level statistics. He has also guest lectured at peer institutions on topics including AI and predictive analytics in social work and the policy forces that shape clinical care.
Andrew has contributed clinical and strategic expertise to publicly funded behavioral health initiatives, multi-stakeholder program design, and health systems infrastructure. He has managed federally funded research agendas totaling over $2.3 million, spanning projects focused on substance use disorder treatment, integrated primary and behavioral health care, rural health systems, and overdose prevention in underserved communities.
Substance use disorder treatment systems · Integrated primary and behavioral health care · Rural health systems · Overdose prevention · Health equity and data justice · Multi-stakeholder program design · Behavioral health infrastructure
Andrew’s research applies artificial intelligence, machine learning, and geospatial methods to behavioral health and global poverty, grounded in a data justice framework. His work examines how predictive analytics can improve treatment outcomes, how spatial data can reveal unmet community need, and how computational tools can be used responsibly. Topics include overdose prevention, opioid use disorder treatment patterns, and the ways that place shapes access to care. His published research spans peer-reviewed journals including Sustainable Cities and Society, Addiction Science & Clinical Practice, Information Processing and Management, the ACM Journal on Computing and Sustainable Societies, Socio-Economic Planning Sciences, International Journal of Environmental Research and Public Health, and Frontiers in Psychology, among others.
Andrew is the author of a preprint proposing the Third Chair AI-Integration (TCAI) Framework — a model for how artificial intelligence can be introduced into live psychotherapy sessions without compromising the therapeutic alliance. The framework draws on alliance theory, object relations, and shared decision-making principles to position AI as a clinical tool — a “third chair” in the room — rather than a replacement for the human relationship at the center of therapy. This work reflects Andrew’s conviction that technology should serve the therapeutic process, not supplant it.
Andrew has presented at national and international conferences including the Society for Social Work and Research (SSWR), the Association for Computing Machinery (ACM COMPASS and EAAMO), the Association for Public Policy Analysis & Management (APPAM), and Harvard’s Symposium on Spatiotemporal Data Science.
Andrew’s scholarly work bridges clinical practice, computational methods, and public health — contributing to an evidence base that informs how care is delivered, how communities are understood, and how technology can be used responsibly in human services.
Andrew leads three active fellowship tracks at Therapy Aligned — each a 2-year supervised clinical training program with a pathway to independent practice ownership.
Andrew’s complete CV — including all publications, presentations, teaching history, and professional experience — is available for download below.
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