My career passion is around the investigations of various computational translational approaches to facilitate drug discovery & development and optimize decision-making processes. - My current doctoral research includes developing an innovative hybrid graph neural network architecture to predict pharmacokinetic properties for small molecule compounds, conducting pharmacometrics analysis and translational research in clinical pharmacology and therapeutics, and investigating drug-drug interactions through PBPK modeling and pharmacovigilance analysis.
- MS
Education & Training
Graduate Track Affiliation(s)
Computational Genomics Screening Center
Graduate Program Affiliation(s)
PhD in Pharmaceutical Sciences: Pharmacometrics and Systems Pharmacology (PSP)
Practice Area/Expertise
PK/PD, Machine Learning, PBPK, Model-Based Meta-Analysis, Pharmacometrics, System Pharmacology, ADME, AIDD
Presentations
ACoP 2024, Poster Presentation, “Intranasal Diamorphine Population Pharmacokinetics Modeling and Simulation in Pediatric Breakthrough Pain” ACS Spring 2024, Oral Presentation, "Artificial Intelligence/Machine Learning (AI/ML)-powered pharmacokinetics modeling: Prediction of excretion parameters for chemicals"
