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project_pong's Introduction

• Per aspera ad astra •

👨‍💻 About

Resourceful, results-driven, and dedicated data scientist. Trained as a biomedical engineer. Looking to leverage my professional skills and passions for clinical AI and machine learning in healthcare!

🛠️ Languages, Tools, and Frameworks

Python  MATLAB  C#  C  CSS  HTML 

PyTorch  Tensorflow  HuggingFace  Scikit-learn  Polars  SQLite  Apache Lucene  Flask  Google Cloud Platform  Docker  Heroku  Git  Jupyter  Pycharms  VisualStudio 

🌱 Projects

  • ACES: Automatic Cohort Extraction System for Event-Streams.
  • AnnoDash: A clinical terminology annotation dashboard supported by LLMs for standardized ontology mapping of patient health records.
  • VA-SDoH: Using BERT/RoBERTa NLP transformers on verbal autopsy datasets for sequence classification of social determinants of health.
  • pLGG: Radiomics and 3D ResNets for pretherapeutic MRI differentiation of BRAF status in pediatric low-grade gliomas.
  • EPAI: NLP sentiment analysis of tweets.

🤝 Acknowledgements

  • Alistair Johnson, DPhil | The Hospital for Sick Children
  • Matthew McDermott, PhD | Harvard Medical School
  • Jennifer Hon, BDS, MBBS | Harvard Medical School
  • Leo Anthony Celi, MD, MPH | MIT Laboratory for Computational Physiology
  • Tristan Naumann, PhD | Microsoft Research Health Futures
  • Farzard Khalvati, PhD | University of Toronto
  • Hon S. Leong, PhD | Sunnybrook Health Sciences Centre
  • David Goertz, PhD | Sunnybrook Health Sciences Centre
  • Emmanuel Chérin, PhD | Sunnybrook Health Sciences Centre

project_pong's People

Contributors

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