Tatiana Iakovleva

Tatiana Iakovleva, Pharm.D., M.S.

Research Assistant Professor

Department: Pharmaceutics
Business Phone: (407) 313-7050
Business Email: tiakovleva@ufl.edu

About Tatiana Iakovleva

Dr. Tatiana Iakovleva received her PharmD from I.M. Sechenov First Moscow State Medical University and a Master’s in Financial Engineering from the National Research University Higher School of Economics, during which she earned the Lubimov L.L. stipend as an exchange student at the University of Turin.

With over 10 years of experience collaborating with global pharmaceutical companies, Dr. Iakovleva specializes in Quantitative Systems Pharmacology (QSP) modeling and has contributed to more than 20 research projects. Her work has earned publication awards, including Wiley’s Top Cited Article (2020–2021) and Top Downloaded Paper (2018–2019). She joined the University of Florida as a Postdoctoral Associate in 2022 and was promoted to Research Assistant Professor in 2024.

An active member of the American Society for Clinical Pharmacology and Therapeutics (ASCPT), the International Society of Pharmacometrics (ISoP), and the American College of Clinical Pharmacology (ACCP), Dr. Iakovleva is deeply committed to education. She holds certifications in Great Online Teaching, Principles of Inclusive Teaching, and CIRTL Associate from UF’s Center for Teaching Excellence.

Her research focuses on applying mathematical modeling to areas where direct measurement is challenging and mathematical modeling is especially beneficial, like nephrology, respiratory diseases, and neuroscience. With a focus on mechanistic modeling and disease progression, she aims to advance understanding of disease mechanisms and drive innovative treatment strategies, contributing to the future of healthcare.

Teaching Profile

Courses Taught
2025
PHA6125 Introduction to Quantitative Pharmacology

Publications

Academic Articles
2025
Establishment of a Biomarker‐Directed Clinical Endpoint Model for Early‐Stage Parkinson’s Disease Patients
Clinical Pharmacology & Therapeutics. 117(5):1460-1469 [DOI] 10.1002/cpt.3593.
2024
Mechanistic Modeling of In Vitro Biopharmaceutic Data for a Weak Acid Drug: A Pathway Towards Deriving Fundamental Parameters for Physiologically Based Biopharmaceutic Modeling.
The AAPS journal… 26(3) [DOI] 10.1208/s12248-024-00912-y. [PMID] 38575716.
2023
A mechanistic modeling platform of SGLT2 inhibition: Implications for type 1 diabetes
CPT: Pharmacometrics & Systems Pharmacology. 12(6):831-841 [DOI] 10.1002/psp4.12956. [PMID] 36912425.
2022
Knowledge dissemination and central indexing of resources in pharmacometrics: an ISOP education working group initiative
Journal of Pharmacokinetics and Pharmacodynamics. 49(4):397-400 [DOI] 10.1007/s10928-022-09809-9.
2021
A model‐based approach to investigating the relationship between glucose‐insulin dynamics and dapagliflozin treatment effect in patients with type 2 diabetes
Diabetes, Obesity and Metabolism. 23(4):991-1000 [DOI] 10.1111/dom.14305.
2020
Differentiating the Sodium‐Glucose Cotransporter 1 Inhibition Capacity of Canagliflozin vs. Dapagliflozin and Empagliflozin Using Quantitative Systems Pharmacology Modeling
CPT: Pharmacometrics & Systems Pharmacology. 9(4):222-229 [DOI] 10.1002/psp4.12498. [PMID] 32064793.
2019
Comparison of the urinary glucose excretion contributions of SGLT2 and SGLT1: A quantitative systems pharmacology analysis in healthy individuals and patients with type 2 diabetes treated with SGLT2 inhibitors
Diabetes, Obesity and Metabolism. 21(12):2684-2693 [DOI] 10.1111/dom.13858.
2019
Quantitative Systems Pharmacology: An Exemplar Model‐Building Workflow With Applications in Cardiovascular, Metabolic, and Oncology Drug Development
CPT: Pharmacometrics & Systems Pharmacology. 8(6):380-395 [DOI] 10.1002/psp4.12426. [PMID] 31087533.
2019
Urinary glucose excretion after dapagliflozin treatment: An exposure‐response modelling comparison between Japanese and non‐Japanese patients diagnosed with type 1 diabetes mellitus
Diabetes, Obesity and Metabolism. 21(4):829-836 [DOI] 10.1111/dom.13586. [PMID] 30456904.

Contact Details

Phones:
Business:
(407) 313-7050
Emails:
Business:
tiakovleva@ufl.edu
Addresses:
Business Street:
6550 SANGER RD
ORLANDO FL 32827