San Diego, California, United States
• Case Studies and Publications: Created and prepared case studies and publications to effectively showcase the capabilities and impact of the SilcsBio software, enhancing visibility and demonstrating value to potential clients. • Software Development: Contribute to further development of SilcsBio software by designing and integrating new features, improving functionality and expanding its capabilities. • Client Support: Serve as the primary point of contact for biologics customers, delivering expert guidance on the SILCS-Biologics suite to optimize application and usage. • Custom Solutions: Design and implement tailored solutions to resolve client challenges, improving user satisfaction and experience. • Documentation Management: Create and maintain comprehensive user guides and training materials to enhance client understanding and software adoption.
• Excipient Selection Protocol: Developed a SILCS-based protocol in Python for screening excipient formulations to reduce viscosity and extend shelf-life of biologics. • Protein Charge and Dipole Prediction: Created a computational method in Python to predict the effective charge and dipoles of therapeutic proteins. • Drug Discovery: Utilized molecular modeling, enhanced sampling methods, and free energy calculations to identify potential drug candidates for autoimmune disorders.