1. Teaching Contributions:
   1. PharmD Teaching: 
      1. P161: Pharmaceutics I
   2. Graduate Teaching: 
      1. PS 8008: Advanced Principles of Pharmacokinetics
      2. PhD Student Advisor: 2 current doctoral students
   3. Other Teaching Roles: 
      1. Graduate Certificate in Pharmacokinetics & Mechanistic Modeling
2. Research Overview:

Dr. Patrick Glassman’s laboratory focuses on the integration of drug delivery system engineering and mechanism-based pharmacokinetic modeling.  His primary focus is on optimizing the pharmacologic properties of drugs acting to restore hemostasis (anticoagulants, fibrinolytics, coagulation factors) by engineering them for optimized circulation time and tissue targeting properties. He develops mathematical models utilizing in vitro and in vivo data to inform optimal engineering strategies and dosing regimens.  A major goal of this area of work is to identify fit for purpose half-life extension strategies for peptide and protein therapeutics. Additionally, his laboratory has a focus on development of physiologically-based pharmacokinetic models for biologics and lipid-based drug delivery systems.  These models can be used to predict drug exposure in plasma and in tissues and to project dosing regimens in humans.  His research in this area was recognized by ASPET in 2024 with the Early Career Award in Translational & Clinical Pharmacology.

1. Research Interests:

• Pharmacokinetics/Pharmacodynamics
• Physiologically-based pharmacokinetic modeling
• Targeted drug delivery
• Protein therapeutics
• Lipid-based nanoparticles

1. Practice & Clinical/Community Engagement (If applicable):
2. Key Publications:
   1. Marcos-Contreras OA, Myerson JW, Nong J, Brenner JS, Muzykantov VR, Glassman PM. Effective prevention of arterial thrombosis with albumin-thrombin inhibitor conjugates. Mol Pharm. 2023;20(11);5476-5485.
   2. Parhiz H, Shuvaev VV, Li Q, Papp TE, Akyianu AA, Shi R, Yadegari A, Shahnawaz H, Semple SC, Mui BL, Weissman D, Muzykantov VR, Glassman PM. Physiologically-based modeling of lipid                                                        nanoparticle-mediated delivery of mRNA in the vascular system. Mol Ther Nucleic Acids. 2024;35(2);102175.
   3. Glassman PM. Development of a predictive algorithm for the efficacy of half-life extension strategies. Int J Pharm. 2024;660;124382.
3. Administrative & Service Roles:
   1. Co-Chair, Research & Service Recognition Committee, 2024-2025
   2. Member, Student Success Initiative Task Force
   3. Editorial Advisory Board, Journal of Pharmacology and Experimental Therapeutics, 2024-2026
   4. Guest Associate Editor, Journal of Pharmacology and Experimental Therapeutics, Special Section on Next Generation Therapeutics
   5. Early Career Reviewer, NIH Hemostasis, Thrombosis, Blood Cells, and Transfusion Medicine (HTBT) Study Section, October 2025
4. Collaboration Interests & Opportunities:

Open to collaboration in areas related to pharmacokinetics/pharmacokinetic modeling of peptide and protein therapeutics and drug delivery systems.

1. Professional Profiles:

Lab Website: https://sites.google.com/view/glassmanlab/home

Google Scholar: https://scholar.google.com/citations?user=2wg_kJAAAAAJ&hl=en

ResearchGate: https://www.researchgate.net/profile/Patrick-Glassman?ev=hdr_xprf

LinkedIn: https://www.linkedin.com/in/patrick-glassman-78790545/

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