Dr. Zaid Yousif, PharmD, MAS

Health Sciences Assistant Clinical Professor
Skaggs School of Pharmacy and Pharmaceutical Sciences

Zaid Yousif, PharmD, MAS
(858) 534-8009


Pam Fletcher-Rice

Human Resources

Mandi Garhartt (formerly Walker)

Research Summary

Dr. Yousif’s research is broadly interested in adverse drug events, with a particular interest in drug-induced kidney injury (DI-AKI) in adult and pediatric patients. Current research efforts are focused on utilizing electronic health record (EHR) data and real-world evidence (RWE) from large nationwide data repositories to elucidate the risk factors of DI-AKI in patients treated with nephrotoxic drugs. Additionally, Dr. Yousif’s research aims to apply statistical and machine learning methods to predict health outcomes across various diseases and health conditions.

Academic Achievements

Education: Doctor of Pharmacy, UC San Diego Skaggs School of Pharmacy and Pharmaceutical Sciences (SSPPS) (2018); Post-Doctoral Fellowship in Biomedical Informatics, UC San Diego School of Medicine (2021); Master’s in Advanced Clinical Research, UC San Diego (2021); Post-Doctoral Fellowship in Health Economics and Outcomes Research, University of Illinois Chicago School of Pharmacy and Takeda Pharmaceuticals (2022).

Awards and Honors: Becton Dickinson Pharmacy Informatics Recognition (2020), Phi Lambda Sigma Pharmacy Leadership Society (2016), Walgreens Diversity Scholarship Award (2016).

  • Co-chair, SPPS 206 – Study Design and Biostatistics I
  • Co-chair, SPPS 208 – Study Design and Biostatistics II
Key Contributions
  • Led the conceptualization and development of a first-of-kind relational database to standardize medications concepts across medical devices data.
  • Led the conceptualization and development of statistical predictive models using machine learning techniques across several diseases, including acute kidney injury and refractory epilepsy.
  • Conceptualized and executed health economics and outcomes research analyses across various diseases and disorders, including inflammatory bowel disease, immunodeficiency, and autoimmune disorders.   
  • Transitioned the biostatistics courses in SSPPS to use R as the main statistical analysis software.
Selected Publications
Potential Collaborative Programs
  • Pharmacy and biomedical informatics
  • Statistical and machine learning application in pharmacy and medicine
  • Health economics and outcomes research