I am a Computational Scientist in India with over 15 years of experience in computational drug discovery. My work focuses on the intersection of AI and Life Sciences, specifically in finding "undruggable" targets, target identification and advancing longevity research.
- 🔭 Current Focus: Agentic AI for Life, BioAI, Target Identification, Longevity, and Cryptic Pockets.
- 🌱 Learning Path: Advanced Deep Learning with PyTorch & TensorFlow, and Generative AI for Drug Discovery.
- 👯 Collaboration: Open to projects involving BioAI workflows, Target Identification, and ML-based SAR models.
- 🤝 Mission: Driving longevity studies focused on the Indian Population.
- 💬 Ask me about: MD Simulations (NAMD/GROMACS), QSAR, KNIME Workflows, and Agentic AI.
- ⚡ Fun fact: I talk a lot because I’m passionate about motivating the next generation of scientists!
| Project | Description | Tech |
|---|---|---|
| MDNotebooks | Comprehensive Jupyter Notebooks for Molecular Dynamics. | Tcl, Python |
| ModellerNotebooks | Protein Modelling workflows using Modeller & Jupyter. | Jupyter, Python |
| AgingData | Dataset for designing molecules targeting aging-related biological targets. | Data Science |
| QSAR | Management and generation of QSAR/QSPR models. | Cheminformatics |
| Basics | A starter guide for Jupyter, Python, and Bio-modeling. | Education |
- 🌐 Personal Website: www.giribio.in
- 🎙️ Podcast: Drug Discovery Podcast
- 📝 Writing: Regularly sharing thoughts on Medium
