Johnathan N.
Data Scientist & Machine Learning Engineer
I currently work as a Senior Data Scientist (Imaging) in renal pathology. I conduct research on kidney diseases, run statistics, design cell segmentation AI's, build healthcare apps, and classify tissues in medical biopsies. I am a master's conferred biology graduate and a master's conferred mathematics graduate. I use the R language, the Tidyverse, Caret, and TensorFlow/Keras for data science research. My biology thesis research was in disease genetics, disease ecology, movement ecology, and statistical methodology. My mathematics thesis was in group theory and machine learning, specifically in using neural networks to solve the Rubik's Cube and other twisty puzzles. I have also worked on projects involving time-series analysis of biosensor data, cluster analysis for identification of amphibian species from audio data, and risk determination and protocol recommendations from roadkill data. I possess several certificates in data science and machine learning. Techniques that I am well-versed in are deep neural networks, CNNs, twin CNNs, RNNs, NLP, recommender systems, Hopfield networks, generalized linear models, Bayesian regression, Markov chains, PCA & t-SNE, SVMs, kernel density estimation, a range of statistical analyses, encryption & decryption, etc.
Earnings and projects
An estimate from an earlier read
Earnings, last 30 days
No data since Nov 5, 2026.