The Department of Biotechnology at Paavai Engineering College successfully organized a Guest Lecture on “AI-Driven Drug Designing: Reshaping the Future of Biotech Research” on April 16, 2025.
The Resource Person for the event was Dr. A. Ronaldo Anuf, Director of Research and Development, Scinicorn Labs Private Limited, Marthandam, Kanyakumari District, Tamil Nadu.
The event was convened by Dr. C. Nirmala, Head of the Department of Biotechnology, and coordinated by Mr. K. Vignesh, Assistant Professor, Department of Biotechnology.
The session commenced with a warm welcome address delivered by Ms. C. Santhiya, a III-year Biotechnology student, setting the tone for the event.
Dr. M. Premkumar, Principal, Paavai Engineering College, delivered the presidential address.
Ms. Sharmita S, a II-year Biotechnology student, introduced Scinicorn Labs Private Limited, followed by an introduction of the Chief Guest by Ms. K. Yuvashri, a III-year Biotechnology student.
Dr. A. Ronaldo Anuf delivered an insightful lecture covering key aspects of AI-driven drug discovery, including its transformative role in biotechnology research. He elaborated on how complex algorithms and data analytics are translated into practical strategies and how they help identify new value propositions in drug development. The session emphasized the significance of AI in accelerating scientific innovation and enhancing critical thinking and problem-solving skills among students to address challenges in biotech research.
The session was highly interactive, with Dr. Ronaldo encouraging active participation through discussions and Q&A sessions. This approach helped students clarify doubts, explore emerging ideas, and deepen their understanding of AI’s potential in the field of biotechnology.
Students gained an understanding of the role of AI in accelerating drug discovery and creating long-term value in biotech research.
Participants learned to identify and articulate the unique advantages and opportunities presented by AI-driven innovations.
Attendees understood how to leverage machine learning, big data, and computational tools to drive advancements in biotechnology.
Students developed critical thinking and problem-solving skills to apply AI solutions to complex challenges in drug discovery.
The event concluded with a vote of thanks proposed by Mr. P. Vaishnav, a II-year Biotechnology student.
The lecture was attended by 120 students and was a resounding success, providing a valuable learning experience and broadening students’ perspectives on the immense potential of AI in transforming the biotech industry.
