Area of research
Computational Theory and Mathematics · Artificial Intelligence
Research interest
Research focused on In silico and Dentate gyrus, with related work in Nuclear receptor, Flood myth, Artificial intelligence. Notable publications include 'Crops In Silico: Generating Virtual Crops Using an Integrative and Multi-scale Modeling Platform', 'Drug target prediction through deep learning functional representation of gene signatures', and 'Transcriptional profile of hippocampal dentate granule cells in four rat epilepsy models'.
Drug target prediction through deep learning functional representation of gene signatures
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery
TLX, an Orphan Nuclear Receptor With Emerging Roles in Physiology and Disease
Directional Droplet Propulsion on Gradient Boron Nitride Nanosheet Grid Surface Lubricated with a Vapor Film below the Leidenfrost Temperature
Crops In Silico: Generating Virtual Crops Using an Integrative and Multi-scale Modeling Platform
Transcriptional profile of hippocampal dentate granule cells in four rat epilepsy models