Rate My Professor Mathangi Gopalakrishnan

Mathangi Gopalakrishnan, MPharm, PhD, is an Associate Professor in the Department of Practice, Sciences, and Health Outcomes Research at the University of Maryland School of Pharmacy, University of Maryland, Baltimore. She serves as Director of the MS in Pharmacometrics program and is a faculty member in the Center for Translational Medicine. Gopalakrishnan obtained her PhD in Statistics from the University of Maryland, Baltimore County in 2013, MS in Statistics from the same institution in 2007, MPharm from Birla Institute of Technology & Science, Pilani, Rajasthan, India in 1998, and BPharmacy (Honors) from Birla Institute of Technology & Science, Pilani. She joined the University of Maryland School of Pharmacy faculty in 2013, contributing to quantitative translational research projects and the establishment and growth of the MS in Pharmacometrics program.

Her research focuses on pharmacometrics, precision therapeutics, predictive analytics, real-world data, and drug development. She applies principles of clinical pharmacology including pharmacokinetics/pharmacodynamics, advanced statistical methods such as frequentist and Bayesian modeling and simulation, and artificial intelligence/machine learning techniques to improve therapeutic outcomes for vulnerable populations. Specific projects include real-world clinical pharmacokinetic trials for anti-epileptics and anti-microbials in continuous renal replacement therapy patients, real-world data analyses in neonatal opioid withdrawal syndrome and pediatric anticoagulants, pharmacokinetic-pharmacodynamic studies for nutritional supplements and low-calorie sweeteners in pregnant and postpartum women, disease progression models for schizophrenia and binge-eating disorders, and predictive analytics for transfusion decision-making. Key publications include "Project Optimus Elicits the 'Holistic' Benefits of PK/PD Modeling of Immunotherapy" (Clinical Cancer Research, 2024), "Optimizing tacrolimus dosing in Hispanic renal transplant patients: insights from real-world data" (Frontiers in Pharmacology, 2024), "Physiologically based pharmacokinetic modeling of long-acting extended-release naltrexone in pregnant women with opioid use disorder" (CPT Pharmacometrics & Systems Pharmacology, 2024), "The MILK study: Investigating intergenerational transmission of low-calorie sweeteners in breast milk" (Contemporary Clinical Trials Communications, 2023), and "Model-Based Approach to Improve Clinical Outcomes in Neonates With Opioid Withdrawal Syndrome Using Real-World Data" (Clinical Pharmacology & Therapeutics, 2021). Her scholarship has been cited over 1,200 times. Gopalakrishnan has delivered presentations at conferences including the American Conference on Pharmacometrics on topics such as optimal acetaminophen dosing in preterm infants and Bayesian population pharmacokinetic analysis.