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📛 Nay Aung MBBS MRCP PhD

I am an academic clinical lecturer in cardiology with special interest in cardiovascular genomics and cardiac imaging. I am interested in data science education, biostatistics, epidemiology, population genetics, machine learning and predictive modelling techniques. My research actvities include the genetic epidemiology of cardiac imaging phenotypes, causal inferencing using Mendelian Randomisation, development of personalised risk prediction algorithms, machine learning in healthcare, and the automation of image analysis by deep learning.

🔈 I'm interested in...

AI DataScience

📌 You can also find me...

Twitter LinkedIn GoogleScholar

🚧 I build with...

R Python TensorFlow PyTorch Shiny

🔧 I use...

Bash

Nay Aung's Projects

cadl icon cadl

Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

cleannlp icon cleannlp

R package providing annotators and a tidy data model for natural language processing

cogstack-semehr icon cogstack-semehr

Surfacing Semantic Data from Clinical Notes in Electronic Health Records for Tailored Care, Trial Recruitment and Clinical Research

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

myopia-education-mr icon myopia-education-mr

Scripts used to run Educational attainment - refractive error bidirectional Mendelian Randomisation

spacy-models icon spacy-models

💫 Models for the spaCy Natural Language Processing (NLP) library

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

user2017_nlp icon user2017_nlp

Notes for the 'Introduction to Natural Language Processing with R' Workshop at useR! 2017

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