Biography

Is a senior scientist and a highly accomplished computational biologist and pharmacologist with deep expertise in model-informed drug development, including PK/PD modeling, machine learning, and data integration across the drug discovery pipeline. With a strong foundation in applied mathematics, systems pharmacology, and bioinformatics, she has developed and deployed sophisticated modeling frameworks to accelerate drug candidate selection, optimize dosing strategies, and predict clinical outcomes. Dr. Solans brings exceptional analytical, statistical, and programming skills, and has a proven ability to translate complex data into actionable insights for decision-making.

Expertise

TB Diagnostics
Public Health

Key Impacts

Improving phase 2a efficacy predictions through parent/metabolite analysis: Insights from bedaquiline

Understanding metabolic pathways early in drug development is crucial, especially when metabolite(s) are active compounds. This improved understanding of metabolite activity enhances translation power, improving PKPD translations compared to using the parent drug alone. Assuming in-vivo potency mirrors in vitro MICs aids efficacy predictions.

Source: Conference 2024
Penetrating the problem: What lesion penetration has taught us

Impact details available upon request.

Source: Conference 2024