Ryan Ford

Background

About Ryan Ford

Strong training in computational chemistry with extensive experience in diverse drug design platforms at various development stages- Demonstrates exceptional creativity in providing innovative input and design recommendations for small-molecule and biologic-based drug discovery projects- Utilizes computational techniques, literature insights, competitors’ patent designs, feasible synthetic pathways, and SAR data to effectively guide the design process- Skilled with a wide array of computational tools, including molecular docking (rigid, covalent, and IFD), reaction-based enumeration, QSAR, shape-screening, pharmacophore, scaffold-hopping, molecular dynamics (MD), AI protein folding (protein structure prediction), and residue scanning- Exhibits a strong passion and motivation for drug design, committed to delivering high-quality and meaningful work- Detail-oriented individual with outstanding professional, verbal, and written communication skills. Excels in presenting content internally to the team and externally to clients with precision and clarity.