Adrita Das
I’m Adrita, and recently graduated from Carnegie Mellon University with a Master’s Degree in Biomedical Engineering with a focus on AI-ML Research. I’m passionate about using machine learning to drive more equitable decisions in systems like healthcare, public policy, and social services—areas that are often marked by inequality. I believe data-driven methods can improve outcomes and create fairer, more efficient policies, particularly when applied to complex, high-stakes settings.
Feel free to explore my projects and technical blogs. If you share similar interests or have exciting ideas to discuss, don’t hesitate to reach out via email. Let’s collaborate and create something amazing together!
Areas of Interest
ML for Healthcare, Graph Representation Learning
What Languages Do I Use?
Python, R, C++, C, Java, MATLAB, CUDA
Technical Blogs
I have a passion for consolidating my learnings, and one way I channel this enthusiasm is by writing blogs and reports on various Math and ML papers. This practice allows me to synthesize and articulate my understanding in a coherent manner, contributing to my continuous learning journey.
Scalable Graph Transformers: A Review
In this blog post, I provide an introduction to geometric deep learning and its applications in molecular design and structure prediction.
A new Perspective for Diffusion: A Review
Explore the world of protein language modeling in this comprehensive blog post where I discuss the latest advancements and challenges in the field.
Overview of Transformers: An NLP Perspective
Learn about the fundamentals of molecular dynamics simulation and its applications in drug discovery and molecular modeling.
Click here to learn more about my:
Contact Me!
- GitHub
- Google Scholar
- Email: adritad@andrew.cmu.edu
Thanks for visiting!!