Akintunde (Tunde) Bello, PhD

Principal Consultant

Dr. Akintunde Bello brings more than three decades of experience in preclinical and clinical drug development. He began his career at Rhone Poulenc Rorer (Sanofi) in the UK and later held senior leadership roles at Pfizer and Bristol Myers Squibb, where he served as Senior Vice President and Head of Clinical Pharmacology, Pharmacometrics, and Bioanalysis.

He has played key roles in the development, approval, and life cycle management of 15 marketed drugs across oncology, cardiovascular, inflammation, and infectious disease areas. Dr. Bello holds degrees from Portsmouth University, the University of Manchester Institute of Science and Technology, and King’s College London, and has authored over 90 peer-reviewed publications.

Dr. Bello also serves on the boards of Xilio Therapeutics and the RCDII Charity and is recognized for his mentorship and leadership in the biopharmaceutical field, including honors from the Aleto Foundation and The Medicine Maker Power List.

Recent publications by this scientist

Optimizing Clinical Trial Designs with Quantitative Decision Frameworks: Integrating Pharmacometric, Financial, and Commercial Models to Optimize Value

October 19, 2026

Tyler Dunlap, Pharm.D., DABCP, Brian Corrigan, Ph.D., Akintunde Bello, Ph.D., Marc Gastonguay, Ph.D.

Presented at the 2026 American Conference on Pharmacometrics (ACoP 2026), an International Conference on Pharmacometrics in the US (ICoP – US), on October 11, 2026.

Biopharmaceutical research and development (R&D) productivity, defined as the aggregate return on investment (ROI) for all drug development activities, is declining despite increased global participation and rapid technological advancement. The use of all available data sources, quantitative modeling to inform all decisions, removal of organizational silos, and adoption of quantitative decision frameworks (QDFs) have been proposed as key strategies to improve R&D productivity. This work aimed to propose a framework for linking pharmacometric, commercial, and financial valuation models to support optimization of a hypothetical Phase 3 trial design with respect to the expected ROI (eROI), defined as the ratio of the risk-adjusted net present value (rNPV) to the committed capital (CC).

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