Ideate. Experiment. Share.
Publications are a powerful media and a phenomenal way to debate ideas - I greatly enjoy presenting my ideas and passions to others. Here are a few selected works I contributed to during my time in academia.
Encoding of Combinatorial Effects for Gene Expressions
big data, dimensionality reduction, genomics
Deep Learning Methods for Protein Family Classification
PDB Sequencing Classifier
neural networks, machine learning, proteomics
ML Prediction of COVID-19 Severity From Salivaomics Data
Deep Learning for Salivaomics
Regression analyses, statistical inference, clinical impact