

Enthusiastic PKPD/PBPK mathematical modeler bringing over 5 years of experience in modelling and simulations in pharmaceutical science. Effectively manages assignments and team members. Is dedicated to self-improvement to provide expectation-exceeding results in the hope that these translate into better care for patients.
•Develop and execute a modelling-based strategy for preclinical projects and lead the project team discussions on the human dose prediction prior to candidate selection.
•Use PKPD modelling to generate hypotheses and design better, model-informed experiments.
•Develop and apply PKPD models to influence critical decisions in drug discovery and development, including target selection, lead optimisation, candidate selection and early clinical development.
•Establish concentration-effect relationships, linking drug, target PD and efficacy, from preclinical experiments and provide translation modelling to predict human effects, human doses and early design of clinical trials.
•Work closely with other preclinical scientists and with matrix teams to aid the design of experiments and interpretation of the data generated to define project direction and decisions.
•Communicate/ report modelling predictions to key stakeholders to facilitate strategy and decision-making
• Active engagement with external modelling community and maintain awareness of new /emerging techniques relevant to the field.
Define, develop, test, analyze, and maintain new software applications in support of the achievement of business requirements. This includes writing, coding, testing, and analyzing software programs and applications.
Biologics PKPD and PBPK of mAbs, bi-specific antibodies and fusion proteins