aditya1000 - Overview

Hi, I'm Aditya Nagori, PhD

Coding

A passionate biomedical data scientist building trustworthy clinical AI systems

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🔭 Currently Working On

  • Clinical AI Systems at Duke University School of Medicine
  • Large Language Models for perioperative and critical care
  • Prospective Clinical Evaluations of AI in high-stakes medical settings
  • RAG Pipelines and LLM-powered agents for healthcare

👯 Looking to Collaborate On

  • AI/ML in healthcare and clinical decision support
  • Trustworthy and interpretable machine learning
  • Prospective validation of clinical AI systems
  • Generative AI for medicine

💬 Ask Me About

  • Clinical AI & Machine Learning: Early warning systems, predictive modeling
  • LLMs in Healthcare: RAG, prompt engineering, clinical NLP
  • Computational Medicine: ICU analytics, perioperative risk prediction
  • Model Evaluation: Prospective studies, fairness, calibration

👨‍💻 Portfolio & Publications

All of my work is available at adityanagori.com

📄 Academic Background

PhD in Computational Medicine - Building early warning systems for critical events in intensive care units


🌐 Connect with Me

adityakumarnagori Google Scholar adityakn30


🛠️ Languages and Tools

python r pytorch tensorflow scikit_learn pandas seaborn sqlite git docker linux openai huggingface


📊 GitHub Stats

aditya1000

aditya1000

aditya1000


🎯 Research Highlights

  • 🏥 Clinical AI Deployment: Prospectively evaluated AI systems in real-world clinical settings
  • 🤖 LLM Applications: Developed RAG pipelines for medical knowledge retrieval
  • 📈 Predictive Modeling: Built early warning systems for ICU critical events
  • 🔬 Computational Medicine: Published in high-impact medical and ML journals
  • 🌍 Global Health: Contributed to COVID-19 clinical prediction research

⭐️ Building AI systems that improve healthcare outcomes with clinical teams at Duke University