Golfo Tzilos Wernette, Ph.D. is an Associate Professor in the Department of Psychiatry and Associate Professor with tenure in the Department of Family Medicine. She is also a licensed clinical psychologist at the Ypsilanti Health Center where she provides short-term psychological intervention to adults in the community seeking primary care services. She received a B.S. in Biopsychology and Cognitive Science from the University of Michigan, and a Ph.D. in Clinical Psychology from Wayne State University. She completed a postdoctoral fellowship at the Center for Alcohol and Addiction Studies at Brown University, where she was also a research faculty member.
Her clinical research interests include technology-delivered approaches for health promotion and the reduction of health risk behaviors (e.g., alcohol/drug use, STIs/HIV risk behaviors) among vulnerable populations. Her current NIH-funded work is focused on screening and brief motivational interventions that target these health risks in pregnant/perinatal women and in emerging adults.
Areas of Interest
- Women’s health
- Emerging adults
- Prevention and treatment of substance use disorders
- Motivational interviewing
- Technology-delivered, brief interventions for health promotion and risk reduction.
- Reducing health risk behaviors among emerging adults and women.
- Preventive interventions targeting alcohol/drug use, HIV/STI risk, and intimate partner violence in vulnerable groups.
Golfo Tzilos, Ph.D. recognized at APA with early career award
Golfo Tzilos, Ph.D., was recognized in Washington D.C., at the American Psychology Association Convention this month, for her work identifying “Psychosocial Correlates of Marijuana Use Among Pregnant and Non-Pregnant Adolescent Girls."
- Postdoctoral Fellowship, Center for Alcohol and Addiction Studies, Brown University
- Clinical Psychology Internship, Brown University
- Ph.D., Clinical Psychology, Wayne State University
- M.A., Psychology, Boston University
- B.S., Biopsychology and Cognitive Science, University of Michigan