Exploring the complexity of protein–protein interactions through the lens of AI and computational science.
🎓 I’m currently a PhD Fellow at the University of Copenhagen in the DSDD Group,
where I blend artificial intelligence with structural biology to understand protein-protein interactions.
With a solid foundation in theoretical physics and mathematics,
I’ve evolved into a researcher skilled in:
- 💡 Machine Learning & Deep Learning
- 📊 Data Science & Statistical Analysis
- 🧬 Protein Structure Prediction
- 🐍 Python, R, C++, Cython
- ☁️ Distributed Computing & Cloud Toolkits
| 📂 Project | 🔗 Link |
|---|---|
| Scaling Ansatz for Protein Condensate Droplet Size Distributions | Private — pending publication |
| DeepDisorder | Private — pending publication |
| My Master's Thesis | View Repository |
| Translation For Different Languages Using Transformers (Ongoing) | Explore Project |
| DeepJoke (Upcoming) | Coming soon |
| Gaussian Regression for Interatomic Potentials | Explore Project |
| Audio Classification using CNN | Explore Project |
| Graph Neural Network for Frustration Index (Ongoing) | Explore Project |
| Cython/Python Wrapper for SEVN | Explore Project |
| The FPGA Project with VHDL | Explore Project |
| Low-Mass X-ray Binaries | Explore Project |
| AI for Volatility-Carry Trading Strategy | Explore Project |
| Advanced Statistics With R | Explore Project |
✨ Thanks for stopping by!
Always curious, always learning.
💌 Feel free to connect & collaborate!