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Mentorship for students interested in Reproductive Psychiatry

I have no ongoing research but am interested in mentoring motivated students curious about reproductive psychiatry and women's mental health.

Opening Pathways to Community-Led Transformation in Latinx communities

Participatory action research (PAR) carried out by Latinx community members in Norristown and UPenn students and professors to explore topics of interest in the community including post-secondary readiness, mental health, and violence.

Behavioral and Neural Markers of Psychopathology Risk in Early Childhood

KIds NeuroDevelopment (KIND) Lab is trying to understand the cognitive and emotional factors that put young children at risk for later mental health disorders

Curricular Alignment for 2- to 4-year College Transfer

There are a number of barriers that make it hard for community college students to transfer to four-year colleges. In this project, we will study one: degree requirements that are not well aligned across colleges.

Research in health economics and policy

Eric T. Roberts, PhD is an Associate Professor in the Department of General Internal Medicine at the Perelman School of Medicine. He is a health economist who studies the delivery and financing of care in U.S. public insurance programs and health care delivery systems. Dr. Roberts’ research program encompasses three intersecting areas: 1) health insurance for low-income individuals with Medicare and Medicaid (the “dual eligibles”), 2) Medicare and Medicaid managed care, and 3) the effects of payment and delivery system reform on health care disparities. His research uses simulation and econometric techniques for causal inference to inform policymakers and practitioners about the effects of insurance, payment, and delivery system reform policies on the care of vulnerable populations.

Behavioral health integration, suicide prevention, integration of social care into health systems

1) develop, test, adapt, and refine evidence-based preventive interventions that improve child, adolescent, and family well-being, with a particular focus on reducing youth suicide prevention in settings across the entire health care continuum, and 2) leverage the EHR as a tool to both detect unmet social and behavioral health needs and evaluate the impact of evidence-based social care and behavioral health interventions on youth health outcomes.

Family Sociology and Family Demography

I am a sociologist and family demographer. I study how families change through events like childbearing, cohabitation, marriage, divorce, and widowhood and the consequences of these changes for adults, children, and communities. I am particularly interested in how family life reflects and reproduces social and economic inequality. I use quantitative methods and data visualizations to answer research questions. Most of my work is focused on the contemporary and historical United States.

Intersectional Health Promotion and Prevention of Sexual and Gender Diverse Youth

Dr. Sanders work focuses on building intersectional health promotion and prevention interventions for sexual and gender diverse youth, with a particular focus on expanding access to gender affirming care and optimizing adolescent and young adult sexual health, HIV/AIDS, and substance treatment and prevention interventions.

Psychosocial Functioning in Children with Inflammatory Bowel Disease

My research focuses on the psychosocial functioning of children and teens with inflammatory bowel disease (IBD). I am particularly interested in parental stress, treatment adherence, and child psychosocial outcomes for children with very early-onset IBD. I am also actively involved in depression and anxiety screening integrated within standard GI clinical care.

Machine Learning and Computational Marketing

I am seeking research assistants to help develop the next generation of tools for marketing analytics, including methods for learning consumer preferences from unstructured image, text, and video data, new solutions for modeling customer lifetime value, and advanced machine learning tools for optimizing marketing. This is a technical position that requires prior coding experience.

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