Experience

Modeling across research and industry

Industry internships in clinical pharmacology and QSP, grounded in doctoral training in dynamical systems and mechanistic modeling.

Industry

Clinical Pharmacology & Pharmacometrics Intern

Bristol Myers Squibb · Lawrenceville, NJ

Summer 2026
  • Developed population pharmacokinetic (PopPK) models in Pumas and performed covariate analysis.
  • Supported longitudinal exposure–response (E–R) modeling in NONMEM using clinical trial data.
  • Contributed cross-functionally to evaluate results and communicate insights for dose selection.

Quantitative Systems Pharmacology (QSP) Intern

Simulations Plus · Pittsburgh, PA

Summer 2024
  • Developed new QSP modeling technologies by integrating modeling, software, and mathematical biology.
  • Designed a differential equations model that leverages pharmacokinetic data to simulate drug responses.
  • Synthesized PK/PD data from the clinical pharmacology literature to inform trial-design decisions in oncology.

Research & teaching

Doctoral Researcher

Department of Mathematics & CNBC, University of Pittsburgh

2021 – present
  • Building and analyzing conductance-based models of pedunculopontine (PPN) neurons and basal ganglia–brainstem circuits relevant to Parkinson’s disease. See research →
  • Co-developed XPPLORE, an open-source MATLAB toolbox for post-processing numerical continuation results from XPPAUT/AUTO.
  • Presented at ACoP, SIAM Life Sciences, SIAM Dynamical Systems, Society for Neuroscience, and ICMNS.

Graduate Teaching Fellow

Department of Mathematics, University of Pittsburgh

2021 – present
  • Led weekly recitations for Calculus I and Business Calculus (up to 70 students per semester); administered and graded exams and held office hours.
  • Graded for Modeling in Applied Mathematics, Introduction to Mathematical Neuroscience, and Introduction to Network Science.

Technical skills

Modeling
Dynamical systems theory, conductance-based modeling, bifurcation analysis and numerical continuation, geometric singular perturbation theory, parameter optimization, nonlinear mixed-effects modeling, covariate analysis, network phase analysis
Pharmacometrics
PopPK, covariate modeling, longitudinal exposure–response, PK/PD, QSP
Software
Proficient: Python, MATLAB, XPPAUT/AUTO, Java, LaTeX. Familiar: NONMEM, Pumas, Julia, R

Leadership & service

Member of ASCPT, ISoP, SIAM, SMB, AMS, and AWM.