# About Me

It's all 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.