# About Me
Hi, I’m Sadanand Singh. I work at the intersection of AI/ML, finance, and medicine. My background is in computational physics and chemical engineering, with a PhD focused on modeling nano-materials and biomolecules. I enjoy building algorithms and software in Python, Rust, C++, and JavaScript.
My research centers on developing explainable and agentic AI systems, especially for medical imaging and scientific discovery. I’m interested in large language models (LLMs), knowledge graphs, and retrieval-augmented generation (RAG) to improve AI transparency and performance. I also use modern web technologies to make deep learning research more reproducible and apply stochastic learning to model complex behaviors in finance and healthcare.
Research Interests
- Development of explainable AI models for medical applications
- Research in agentic AI systems and autonomous agents
- Large Language Models (LLMs) and their applications in healthcare and scientific discovery
- Construction and use of knowledge graphs for structured data representation and reasoning
- Retrieval-Augmented Generation (RAG) techniques for enhancing LLM performance with external knowledge
- Applications of modern web technologies to make deep learning research more transparent, reproducible and easy to share
- Using fundamentals of stochastic learning to model consumer behavior
CV
A copy of my CV can be found here
last updated on: Wed Aug 28 2024.
Publications
I have 30+ publications in high-profile journals including Nature Materials, Nature Chemistry, and various medical imaging conferences. My work spans computational physics, medical AI, and semiconductor manufacturing. A selection of my most important publications:
- Deep is a Luxury We Don’t Have - MICCAI 2022
- An improved mammography malignancy model with self-supervised learning - SPIE Medical Imaging 2021
- A Multisite Study of a Breast Density Deep Learning Model - Radiology: Artificial Intelligence 2021
- Ultrastable glasses from in silico vapour deposition - Nature Materials (2013)
- Two-dimensional infrared spectroscopy reveals the complex behaviour of an amyloid fibril inhibitor - Nature Chemistry (2012)
For a complete list of publications with full details, PDFs, and ArXiv links, visit my publications page or Google Scholar profile.