Research Interests

My research lies at the intersection of Clinical Pharmacology, Statistics, and Mathematical Modeling. I focus on optimizing therapeutic outcomes through:

• Pharmacometric Modeling (PK/PD): Developing models to understand drug-body interactions.
• Precision Medicine: Personalizing immunosuppressant therapy for organ transplant recipients.
• R Programming: Utilizing R for data analysis, simulation, and reproducible research.

Research Experience

• Conducted external evaluation of population pharmacokinetic models for Tacrolimus in kidney transplant recipients to identify optimal models for precision dosing in Indian populations.
• Utilized parametric time-to-event analysis to quantify the impact of hematocrit on the hazard of rejection in renal transplant patients receiving Tacrolimus therapy.
• Developed a population PK/PD model of acetaminophen in preterm neonates with patent ductus arteriosus to optimize therapeutic dosing strategies.
• Developed a population pharmacokinetic model of hydroxychloroquine sulphate for COVID-19 prophylaxis in healthcare workers, characterizing exposure requirements.
• Contributed to the validation of population PK models and dosing nomogram development for Amikacin and Piperacillin-Tazobactam in neonatal intensive care settings.
• Performed non-parametric time-to-event analysis for non-small cell lung cancer patients to evaluate survival probabilities based on genomic mutation status.
• Developed reproducible pharmacometric tutorials and models within the Pumas ecosystem, facilitating the adoption of standardized modeling practices.