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Achievements

Achievement: StarstruckAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLO

Achievements

Achievement: StarstruckAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLO

Highlights

  • Pro

Organizations

@Stanford-AIMI @Medical-Event-Data-Standard

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justin13601/README.md

• 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

Pinned Loading

  1. ACES ACES Public

    [ICLR 2025] ACES: Automatic Cohort Extraction System for Event-Streams

    Python 38 5

  2. Stanford-AIMI/GREEN Stanford-AIMI/GREEN Public

    [EMNLP, Findings 2024] a radiology report generation metric that leverages the natural language understanding of language models to identify and explain clinically significant errors in candidate r…

    Python 62 7

  3. AICancer AICancer Public

    A Machine Learning Classifier for Lung & Colon Cancer Histopathological Images.

    Jupyter Notebook 19 4

  4. AnnoDash AnnoDash Public

    [JAMIA Open] A clinical terminology annotation dashboard created using Plotly Dash & the MIMIC-IV database.

    Python 9 3

  5. pLGG_Fusion_Net pLGG_Fusion_Net Public

    Radiomics & 3D Residual Neural Networks for Pretherapeutic MRI Differentiation of BRAF Status in pLGGs

    Python 3

  6. kind-lab/verbal-autopsy-sdoh kind-lab/verbal-autopsy-sdoh Public

    Use ML to classify SDoH from verbal autopsies

    Jupyter Notebook 1