From Patch to Product: Turning Physical Models into Plugins

To equip participants with the skills and knowledge needed to convert physical models into digital plugins, enhancing accessibility and usability in real-world applications.

• To introduce the fundamental concepts of physical modeling and its digital transformation.
• To familiarize participants with key tools like Google Colab and Jupyter Notebooks for plugin development.
• To guide participants through the process of converting physical models into digital plugins.
• To explore best practices for making plugins accessible and user-friendly for diverse applications.
• To offer hands-on experience in creating a functional plugin from a physical model.

• Doctoral Scholars & Researchers: PhD candidates seeking to integrate computational workflows into their molecular research.
• Postdoctoral Fellows: Early-career scientists aiming to enhance their data-driven publication profile.
• University Faculty: Professors and HODs interested in modern bioinformatics pedagogy and tool mastery.
• Industry Scientists: R&D professionals from the Biotechnology and Pharmaceutical sectors transitioning to genomic-driven discovery.
• Postgraduate Students: Final-year PG students looking for specialized research-grade exposure beyond standard curricula.

• Understand the process of transforming physical models into digital plugins.
• Gain proficiency in using tools like Google Colab and Jupyter Notebooks to create plugins.
• Be able to develop a working prototype plugin for real-world applications.
• Develop skills in ensuring the accessibility and usability of digital plugins.
• Have the confidence to implement these techniques in future projects, contributing to innovation in digital tools and products.