I serve as the Executive Vice Chairman of the Zimbabwe Cancer Care for Families Organisation (ZiCCAFO). I am an accomplished Computational Medicinal Chemist dedicated to advancing cancer drug discovery through innovative computational methodologies. With expertise in medicinal chemistry, molecular mechanics, density functional theory, molecular modelling, and QSAR analysis, I design impactful computational models to accelerate the identification and optimisation of novel therapeutics. By integrating AI-driven modelling, machine learning, molecular dynamics, and predictive toxicology, I bridge theoretical chemistry and clinical application, reducing lead optimisation cycles and enhancing drug candidate success rates. I bring a unique blend of scientific rigour and regulatory insight, with extensive experience in Pharmacovigilance and Clinical Trial data analysis. My contributions have supported the successful submission of multiple INDs and NDAs, ensuring full compliance with international regulatory standards, including FDA, EMA, and ICH guidelines. I am adept at translating complex computational data into actionable insights for cross-functional teams, fostering collaboration between computational, synthetic, and clinical scientists. Throughout my career, I have spearheaded innovative partnerships with leading research institutes and driven the adoption of cutting-edge computational workflows and custom machine learning pipelines. I possess extensive experience in leveraging high-performance computing environments through external terminals, utilising advanced Bash and Python scripting to efficiently manage and submit complex job input files. My expertise encompasses a broad range of quantum mechanics and molecular mechanics calculations, particularly within the context of drug discovery. With a strong background in computational chemistry and pharmaceutical research, I have optimised computational workflows and automated data processing to drive innovative solutions. I am self-taught in Microsoft Office, achieving superlative proficiency in the suite, which led to over two years as a Tutor and a subsequent role as a Senior Tutor for End User Computing. My leadership style is grounded in strong ethics, clear communication, and a commitment to scientific excellence, consistently delivering results that align with both business objectives and patient needs. I am eager to connect with forward-thinking organisations and global teams seeking to advance their drug discovery pipelines through data-driven innovation and strategic scientific leadership.