Bioinformatics Researcher | Drug Discovery Specialist | Full Stack Developer
I'm a passionate Bioinformatics Researcher with a unique blend of pharmaceutical and computational expertise. Currently pursuing my MS in Bioinformatics, I bridge the gap between traditional pharmaceutical research and modern computational methods.
- 🔬 Specializing in drug discovery, single-cell sequencing, and computational biology
- 💊 Background in Pharmacy with hands-on experience in medicinal chemistry
- 💻 Full-stack developer with expertise in bioinformatics software development
- 🚀 Building tools that accelerate pharmaceutical research and drug discovery
tech_stack = {
'languages': ['Python', 'R', 'JavaScript', 'TypeScript', 'Go'],
'web_dev': ['Next.js', 'Node.js', 'React', 'Tailwind CSS'],
'cloud': ['AWS', 'Google Cloud', 'Docker', 'Kubernetes'],
'bioinformatics': ['RDKit', 'PyMOL', 'Autodock Vina', 'Discovery Studio'],
'databases': ['MongoDB', 'SQL'],
'tools': ['Git', 'Linux', 'High-Performance Computing']
}
- 🎯 Awarded 120,000 INR SSIP Hub grant for Triple-Negative Breast Cancer Drug Design
- 🌟 Developed Sorcery Dock - A modern bioinformatics platform with Git-like version control
- 🔗 Created distributed systems for pharmaceutical workflows using cloud technologies
-
Sorcery Dock (sorcery.rudrajoshi.me)
- Bioinformatics platform with molecular editing and version control
- Built with Next.js, Node.js, Go, and Docker
- Integrates with AWS and Google Cloud for automated predictions
-
Drug Discovery Research
- Leading anticancer drug design initiatives
- Implementing ML/AI approaches for drug candidate evaluation
- Developing automated workflows for high-throughput screening
- 📍 Location: Glassboro, New Jersey, USA
- 📧 Email: [email protected]
- 🔗 Portfolio: rudrajoshi.me
- 💼 LinkedIn: linkedin.com/in/rudrajoshi2481
"Using computation to accelerate drug discovery and improve human health"