isi-mube Goto Github PK

followers: 65.0 following: 80.0 repos: 95.0 gists: 0.0

Type: User

Bio: Data Scientist @UniversalDX | AI, Healthcare, and cancer research.

Twitter: isi_mube

Location: Madrid

Hi 👋

Data Scientist @UniversalDX and Data Lead Teacher @Ironhack at the intersection of AI, Healthcare, and cancer research, with a background in Data Science, Cytopathology, and Psychology. I am currently involved in the development of a liquid biopsy-based diagnostic test for early cancer detection, mentoring future data professionals, and serving as the Secretary of the European Advisory Committee of Cytotechnology.

Published 11+ research articles, including AI and guidelines for Digital Pathology & Cytopathology implementation.
Taught in a Digital Healthcare Cathedra at the University of Barcelona.
Showcased Cytology Codex in Ironhack Hackshows and during the European Congress of Cytology & published it on Cytopathology Journal.
Presented at regional, national, and international scientific conferences.
Past board member of the Spanish Society of Cytology.
In love with calisthenics, lifelong learning, fruit & books.

📚 PyTorch, Keras, TensorFlow, Scikit-learn, Streamlit, Pandas, Numpy, OpenCV, Os, Scikit-image

📂 Popular Repositories:

🤖 Deep Learning with Computer Vision: Binary Classification, Multiclass Classification, Segmentation.
💻 Machine Learning: Regression, Classification.
🔧 Tailor's Drawer - Utilities, functions, and guides.
🧪 Iron Labs - Solved data analytics assignments and side projects.

isi-mube's Projects

ai-ml-course

Materials for the course: AI ML & Analytics

awesome-profile-readme-templates

A collection of awesome readme templates to display on your profile

breast-cancer-app

Web application to diagnose breast cancer based on cytological characteristics. Created for a Streamlit webinar and workshop, using the Wisconsin Breast Cancer Dataset.

breast_cancer_prediction

Content Past Usage: Attributes 2 through 10 have been used to represent instances. Each instance has one of 2 possible classes: benign or malignant. Wolberg,~W.~H., \& Mangasarian,~O.~L. (1990). Multisurface method of pattern separation for medical diagnosis applied to breast cytology. In {\it Proceedings of the National Academy of Sciences}, {\i

breast_histology_image_classification

Project for machine learning for medical imaging course at the Technical University of Munich. Based on problem statement of BACH challenge of ICIAR 2018

cervical-cancer-cnn-ga

Deep feature selection using GA for classification of cervical cytology images.

cnns_for_cytology_image_classification

Classifying malignant and benign FNAC samples from breast tissues

cosmic-compendium

Computer Vision project to recognize galaxies; either spiral or not. Also, image binary classification with TensorFlow & Keras practice.

cytology-codex

Computer Vision application to diagnose diverse Cytology samples using medical imaging Data from a virtual microscope. Also, Ironhack's final-bootcamp project.