School of Pharmacy

Cynthia Watchmaker honored with university award

Cynthia Watchmaker, the School of Pharmacy’s associate dean of student affairs, was awarded the UCSF Chancellor’s Award for Exceptional University Management.

Update from the Dean – May 2019

Dear UCSF School of Pharmacy Family and Friends:

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...

UCSF School of Pharmacy celebrates Commencement 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.

Studies on adolescent drug abuse, anti­de­pres­sants in the ER, and complications from heart pumps take top honors at annual seminar

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.

MacDougall named Divine Family Endowed Chair in Clinical Pharmacy

Conan MacDougall, PharmD, MAS, has been selected as the new holder of the Divine Family Endowed Chair in Clinical Pharmacy. The chair was created in 2003 by Philmore G.

The Kidney Project earns KidneyX award to make home dialysis better for patients

A team led by Shuvo Roy, PhD, recently won an award that will fund the development of an easy-to-use, safe, and effective home dialysis system.

School reflects on legacy of achievement at Alumni Weekend 2019

Students, faculty, staff, and alumni celebrated the School of Pharmacy's long history of achievement in the discovery and clinical sciences, and clinical practice, at Alumni Weekend 2019.

Study shows promise for hormonal contraception services in the community pharmacy setting

A study shows the potential of hormonal contraceptives at pharmacies in California and Oregon.

Training computers to think more like scientists

Michael Keiser, PhD, and Kangway Chuang, PhD, want to use machine learning to speed the pace of drug discovery. By digging into the work of another lab, the pair realized how machine learning could lead scientists astray—and came up with methods to avoid its worst pitfalls.

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