Kevin Delucchi, PhD
Dr. Delucchi is a quantitative expert specializing in psycho-social research. Dr. Delucchi's work focuses on statistical methods for analysis of quantitative data including clinical trials of treatments for smoking cessation. He has collaborated with numerous investigators on nicotine-related research and is a member of an NIH Study Section. Kevin Delucchi received his doctorate from UC Berkeley and is appointed Professor of Biostatistics in Psychiatry. He has a long history of working with trainees at UCSF. He is a faculty member on a NIDA-funded T32 grant and is and has been an advisor and co-mentor on several ‘K’ awards. Dr. Delucchi directed the Statistics and Health Economics Core of the NIDA-funded Treatment Research Center for 20 years. His focus is on statistical methods relevant to smoking cessation and illicit drug abuse and is PI on an NIAAA-funded study of problem and dependent alcohol drinkers which is now in its 17th year.