I am an assistant professor in the Department of Clinical Pharmacy. I investigate how to optimally use antimalarials to prevent malaria in vulnerable populations like pregnant women and children. To do this I use computational methods in pharmacology and epidemiology. My goal is optimize the use of antimalarial drugs to reduce the burden of malaria, minimize drug toxicity and avoid antimalarial drug resistance in Uganda.
Every day, 700 Californians turn to the California Poison Control System for treatment advice and information about potential, or real, exposures to poisons.
The Quantitative Biosciences Institute at UCSF, in collaboration with the Institute of Global Health at UCSF, presents the opening reception for the United States Agency for International Development (USAID) Photographic Exhibition “Stronger There, Safer Here.”
At the UCSF School of Pharmacy we don’t just embrace change, we create it. We have a rich history as drivers of change in our profession, in science, and in education. That passion for change, coupled with a scientific mindset, is clearly evident today in the School, as you’ll read in this Update.
B. Joseph Guglielmo, PharmD, dean of the UCSF School of Pharmacy, congratulates Peter Nguyen, PharmD, Class of 2019.
On May 3, in front of a crowd of more than one thousand gathered at Louise M. Davies Symphony Hall in San Francisco, the 122 members of the UCSF School of Pharmacy graduating class of 2019 received their doctor of pharmacy (PharmD) degrees.
Research on topics ranging from drug abuse to heart pump complications took top honors at the Department of Clinical Pharmacy’s 21st annual Spring Research Seminar.
In my role as Biostatistician, I support the Medication Outcomes Center staff, faculty, and partners in data cleaning, data visualization, study design, and statistical data modeling. This includes working on large electronic health record (EHR) data sets to derive clinically meaningful variables, merging multiple data sets by key identifiers, converting repeated measures data to independent patient-level measures, tabulating descriptive statistics including parametric or non-parametric statistical tests of independence, and creating exploratory plots for patient demographics and clinical outcomes. Some of the observational data modeling approaches I frequently use include logistic regression, mixed models, marginal models, and proportional hazards models. In addition to classic statistical methods, I am interested in applying machine learning algorithms to better understand EHR data with complex variables, heteroscedasticity, and non-linearity.
