Area of research
Computational Theory and Mathematics · Materials Chemistry
Research interest
Research interests include Computer science, Artificial intelligence, Autoencoder, Generative grammar, Graph, and Archaea.
Machine learning classification of archaea and bacteria identifies novel predictive genomic features
TumFlow: An AI Model for Predicting New Anticancer Molecules
TumFlow: An AI Model for Predicting New Anticancer Molecules
Conditional Constrained Graph Variational Autoencoders for MoleculeDesign