Interdisciplinary Capabilities

The Applied BioMath team has deep expertise in the areas of mathematics, modeling, and biology.  We leverage this expertise as we apply our modeling approach to various therapeutic modalities, including both large and small molecules, as well as a lengthy list of indications.


  • Semi-mechanistic PK/PD
  • Quantitative systems pharmacology (QSP) model development
  • Quantitative systems toxicology (QST) model development
  • Non-compartmental analysis (NCA) of PK data
  • Toxicokinetic data analysis & report writing
  • Pre-IND and IND writing of PK related sections
  • PK/PD analysis
  • Population PK/PD
  • Biomarker data analysis
  • Bioinformatics
  • Pathway model development & analysis
  • Linear Algebra
  • Optimization
  • Machine Learning
  • Sensitivity Analysis
  • Parameter Estimation
  • Probability Statistics

Our modeling approach is applicable to various modalities, including but not limited to:

  • Large Molecule
    • Monoclonal Antibody (mAb)
    • Antibody Drug Conjugate (ADC)
    • Targeted Cytokines
    • Multivalent Antibody Constructs
    • Bi/Tri-specific 
    • Prodrug
    • T-cell Engagers/BiTEs
  • Small Molecule
    • Protein Kinase Inhibitors
    • Receptor Blockers
    • Modulators of Protein-protein Interaction
    • Transcriptional Regulators
    • Multi-targeting
    • Irreversible Inhibitors
  • Cell Therapies/CAR T-cell Therapies
  • Combination Therapies
  • RNA/RNAi Therapies
  • CRISPR/Cas9
  • Lipid Nanoparticle Delivery 

Our experience spans many indications, including but not limited to:

  • Oncology
  • Immuno-oncology
  • Chronic Inflammatory/Autoimmune Diseases
    • Rheumatoid Arthritis
    • Irritable Bowel Disease
      • Ulcerative Colitis
      • Crohn's Disease
    • Graft-Versus-Host Disease
    • Lupus Erythematosus
    • Idiopathic Thrombocytopenic Purpura
    • Type 1 Diabetes
  • Rare Diseases 
  • Ophthalmology
  • Neuroscience
    • Migraine
    • Chronic Pain
    • Alzheimer's Disease
  • Cardio Vascular and Metabolic Diseases 
    • Type 2 Diabetes Mellitus
    • NASH
    • NAFLD

Proven Results

Working with Applied BioMath enabled us to foresee any hurdles we may have encountered and also ensured we are structuring our trials such that we are targeting the right patients and the right doses.

Mark Currie, PhD
Ironwood Pharmaceuticals

We chose to work with Applied BioMath because of their significant expertise and strength in developing mechanistic QSP models in oncology.

Karim Azer, PhD

Applied BioMath delivered exactly what we asked for in the time frame agreed upfront. Josh and John worked with the team to leverage both internal and external information and develop a 'fit for purpose' model in an eight-week time frame.

Anne Heatherington, PhD