Department of Pharmaceutical Chemistry

Balyn Zaro, PhD

Assistant Professor

Psychiatric Cell Map Initiative Symposium

About the event

QBI Hackathon

The QBI Hackathon is a 48-hour event connecting the vibrant Bay Area developer community with the scientists from UCSF, during which we work together on the cutting-edge biomedical problems. Recent advances in computer vision, AI, and machine learning have enabled computers to identify cat videos,...

QBI Pre-Hackathon Mixer

Attend this meet-and-greet mixer to get to know others, form groups, and start thinking about your projects in advance of the Hackathon. We strongly suggest attending to give yourself ample time to deliver your product.

School scientists identify faulty molecular recycling as potential driver of Alzheimer’s disease

School scientists recently uncovered how neurons normally recycle old proteins, and how this process goes awry in Alzheimer's disease, leading to the toxic building of protein fragments in the brain.

School of Pharmacy leads in LivingGreen certifications

The School’s Dean’s Office received Platinum LivingGreen certification for reducing waste, energy, and water usage.

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.

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.

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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