A systems pharmacology model for gene therapy in sickle cell disease

Collaboration with CSL Behring - Published in CPT: Pharmacometrics Systems Pharmacology

Systematic in silico analysis of clinically tested drugs for reducing amyloid-beta plaque accumulation in Alzheimer's disease

Published in Alzheimer's & Dementia: The Journal of the Alzheimer's Association


Despite strong evidence linking amyloid beta (Aβ) to Alzheimer's disease, most clinical trials have shown no clinical efficacy for reasons that remain unclear. To understand why, we developed a quantitative systems pharmacology (QSP) model for seven therapeutics: aducanumab, crenezumab, solanezumab, bapineuzumab, elenbecestat, verubecestat, and semagacestat.

Quantitative modeling predicts competitive advantages of a next generation anti‐NKG2A therapy over monalizumab for the treatment of cancer

Collaboration with KSQ Therapeutics - Published in CPT: Pharmacometrics Systems Pharmacology

Model-Informed Drug Development of the Masked Anti-PD-L1 Antibody CX-072

Collaboration with CytomX Therapeutics - Published in Clinical Pharmacology & Therapeutics


CX‑072 is an anti‑PD‑L1 (programmed death ligand 1) Probody therapeutic (Pb‐Tx) designed to be preferentially activated by proteases in the tumor microenvironment and not in healthy tissue. Here, we report the model‐informed drug development of CX‐072. A quantitative systems pharmacology (QSP) model that captured known mechanisms of Pb‐Tx activation, biodistribution, elimination, and target engagement was used to inform clinical translation.

Mechanistic PKPD Models of Protein Therapeutics for Early Clinical Development


Mechanistic PKPD models support FIH trial design, development of targeted immunotherapies, and understanding complex PK properties and covariates. 

Mechanistic Quantitative Pharmacology Strategies for the Early Clinical Development of Bispecific Antibodies in Oncology


Bispecific antibodies (bsAbs) have become an integral component of the therapeutic research strategy to treat cancer. In addition to clinically validated immune cell re‐targeting, bsAbs are being designed for tumor targeting and as dual immune modulators. Explorative preclinical and emerging clinical data indicate potential for enhanced efficacy and reduced systemic toxicity.

Fibrinolytic Therapy for Refractory COVID‐19 Acute Respiratory Distress Syndrome: Scientific Rationale and Review

Collaboration with MIT - Published in Research and Practice in Thrombosis and Haemostasis

QSP Model of Colonic Motility

Collaboration with Takeda - Published in Journal of Pharmacokinetics and Pharmacodynamics

QSP Model of a Masked, Tumor-Activated Antibody

Collaboration with CytomX Therapeutics - Published in CPT: Pharmacometrics & Systems Pharmacology

Model Firsts: How QSP can Pick the Right Dose for First-in-Human Trials


By combining disparate data into coherent mechanistic models, quantitative systems pharmacology is becoming a key tool for picking the right dose for first-in-human trials and other early make-or-break decisions. Advocates see it as part of an expanding toolbox of models that can yield better safety and efficacy predictions from preclinical data, and want regulators to include it in their guidances.