About Yinzhi Lang
Yinzhi Lang, PhD, is a Research Assistant Professor in the Department of Pharmacotherapy and Translational Research at the UF College of Pharmacy. Dr. Lang completed her PhD program in 2016 from Ocean University of China and worked as a senior Scientist in Shanghai Greenvalley Pharmaceutical Co.Ltd between 2016 and 2018. In 2018, Dr. Lang joined the College of Pharmacy at UF as a Postdoc and has received systematic training in antimicrobial pharmacology, pharmacokinetics and pharmacodynamics from Dr. Bulitta and his collaborators. In 2021, Dr. Lang was appointed as a Research Assistant Professor at UF. Her current research focus on elucidating the mechanisms of drug action and resistance via the latest mass spectrometry (MS)-based technology and Quantitative & Systems Pharmacology (QSP) modeling approach.
Dr. Lang has over 11 years of experience working with identification and quantification of biological endogenous molecules using liquid chromatography with tandem mass spectrometry (LC-MS/MS)-based approaches. This includes the in-depth component and structural analysis of polysaccharides, oligosaccharides, glycoproteins, and glycolipids from marine algae, human milk, animal meat byproducts and microbial cells. For the pharmaceutical compounds, she has created a series of novel UPLC-MS/MS assays to quantify the target site penetration of various classes of antibiotics in Gram-negative bacteria and the intracellular accumulation of antiviral nucleosides/ nucleotides analogs in mammalian cells. Further, she has significantly contributed to the development of advanced QSP models, which can integrate the experimental mechanistic data with pathogen killing and resistance to rationally optimize anti-infective therapy. Moreover, she has extensive experience in pharmacokinetics and pharmacodynamics analysis of anti-infectives in in vitro and mouse infection models. Dr. Lang is leading and co-leading multiple federal funded anti-infective pharmacology research programs to create novel insights to combat serious infections.
National Computer Rank Examination (NCRE) (China)Visual C++ (Rank II) Certificate
National Computer Rank Examination (NCRE) (China)Internet technology (Rank III) Certificate
- Infectious diseases
- Quantitative and Systems Pharmacology modeling
- Translational and clinical pharmacology
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