I'm an Integrated M.Sc. Life Sciences student at the University of Hyderabad, working where biology, code and data meet. I'm drawn to translational research: taking discoveries from the lab towards real-world use.
🧬 Learning: molecular biology, genomics and computational biology 🐍 Building: Python skills for turning biological and business data into evidence 💼 Experience: completed an R&D internship at EpochFolio Private Limited (Oct 2026), working across research, market analysis and financial analysis 🎯 Aiming for: a career that connects life science, AI and biotech strategy
How does a biological discovery become a technically feasible, economically viable, and strategically valuable business decision? I practise that chain end to end: inspect the data, make assumptions explicit, build and test something, then state what the evidence does and does not support.
Molecular and cellular biology, genomics and transcriptomics, computational biology, translational research, drug discovery, plant biotechnology and AI for life sciences. I have posted questions on ResearchGate about horseshoe-crab innate immunity as inspiration for diagnostic design, and about transcriptional activity across accessible chromatin. These are interests and discussion topics, not publications or experimental findings.
Problem → Research → Analysis → Implementation → Validation → Decision
Outputs are both technical artifacts (code, models, APIs, reproducible workflows) and decision artifacts (evidence summaries, economic analysis, recommendations), always with limitations and uncertainty stated.
Third-party cards built from public data; they may be delayed or unavailable.
I am looking for research projects, internships and collaborations in computational biology, bioinformatics, scientific software, AI for life sciences and evidence-driven biotech strategy. Long term, I aim toward biotechnology business consulting; I do not currently offer client services.
Science explains what may be possible. Data shows what is happening. Economics weighs value and constraints. Strategy decides what to do next.
Layout inspired by the bento template of CheckMyGit (MIT). No CheckMyGit code or assets are used.