Decoding Life Science with Data with DR. RAGOTHAMAN M. YENNAMALLI

🧬 Decoding Life Science with Data | Computational Biology, AI & Bioinformatics | Dr. Ragothaman M. Yennamalli | The Next Experiment Podcast How is Artificial Intelligence transforming biology? What is Computational Biology, and why should every life science student learn coding, statistics, and data science? In this insightful episode of The Next Experiment Podcast by The SciComm Synapse, we are joined by Dr. Ragothaman M. Yennamalli, Associate Professor at the School of Computational and Integrative Sciences, Jawaharlal Nehru University (JNU). Dr. Yennamalli shares his inspiring scientific journey, explains computational biology in simple terms, discusses protein engineering, antimicrobial resistance, genomics, AI-driven biology, machine learning, drug discovery, and offers valuable career advice for students aspiring to pursue research in India and abroad. 🎯 Topics Covered ✅ Computational Biology Explained ✅ Bioinformatics for Beginners ✅ Artificial Intelligence in Biology ✅ Protein Engineering & Drug Discovery ✅ Machine Learning in Life Sciences ✅ Antimicrobial Resistance Research ✅ Genomics & Multi-Omics ✅ Why Biologists Should Learn Python ✅ Research Collaborations ✅ Career Advice for Undergraduate, Postgraduate & PhD Students ✅ Future of AI in Scientific Research Whether you're a B.Sc., M.Sc., Biotechnology, Bioinformatics, Pharmacy, Life Sciences, Computer Science student, PhD scholar, or researcher, this conversation is packed with practical insights and career guidance. 👍 If you enjoyed this episode, don't forget to Like, Share & Subscribe for more inspiring conversations with leading scientists. 🌐 Visit: https://www.thescicommsynapse.in 🎙️ The SciComm Synapse – Think | Grow | Share 00:00 Introduction & Welcome by The SciComm Synapse 01:25 Meet the Speaker – Dr. Ragothaman M. Yennamalli (JNU) 03:20 Research Overview: Decoding Life Science with Data 03:45 Protein Engineering, Enzyme Design & Drug Discovery 05:15 Antimicrobial Resistance & Computational Therapeutics 05:55 Genomics, Indigenous Breeds & Heavy Metal Resistance 06:20 Celiac Disease, TG2 Enzyme & Neurodegenerative Research 07:05 Computational Methods: AI, Molecular Simulations & Machine Learning 09:05 What Inspired Dr. Yennamalli to Pursue Biology? 13:20 From Microbiology to Computational Biology – His Academic Journey 17:20 What is Computational Biology? (Simple Explanation) 21:10 Current Research Questions in His Lab 24:50 Why Every Biologist Should Learn Coding 28:20 Why Python is the Best Language for Beginners 29:00 Building Successful Collaborations Between Wet Lab & Computational Scientists 33:45 Handling Failure, Research Challenges & Scientific Mindset 38:05 Artificial Intelligence in Biology: Opportunities & Limitations 42:20 Skills Needed for Higher Studies & Research Careers 45:45 Communication, Reading & Scientific Curiosity 48:50 Future of Computational Biology (Next 10 Years) 52:15 Advice for Young Scientists & Researchers 54:45 Importance of Scientific Temper & Curiosity 56:00 Vote of Thanks & Closing Remarks #ComputationalBiology #Bioinformatics #ArtificialIntelligence #MachineLearning #LifeSciences #Biotechnology #Genomics #DrugDiscovery #ProteinEngineering #DataScience #Python #Research #ScientificResearch #PhD #HigherEducation #JNU #Biology #STEM #ResearchCareer #TheSciCommSynapse #Podcast #ScienceCommunication #AI #BiologicalSciences #YoungResearchers #ResearchStudents #SciencePodcast #Innovation #Education #futureofscience The Next Experiment is a live, interactive science podcast where leading professors and scientists share honest stories of their career journeys especially designed for students and early career researchers. Each episode explores how researchers began their careers, the challenges they faced, and the pivotal moments that shaped their path to becoming established scientists. This podcast is focused on sharing practical advice and unique window to undergraduate and graduate students - what it truly takes to build a fulfilling STEM career. Through open dialogue the guest helps researchers those navigating transitions into independent roles or aspiring to become principal investigators. The podcast also opens doors for internships, research experiences, and advanced study opportunities. Key Features: Live interviews with renowned scientists and professors Open Q&A for direct student engagement Career guidance for young and transitioning researchers Building valuable mentor-mentee connections across the STEM community Insights on managing work-life balance in academia