The X Machine Learning (XML) group develops machine learning and deep learning algorithms for solving problems involving data with special structure, with an emphasis on healthcare informatics and bioinformatics.

Research Area

Deep Learning

Generative adversarial networks

Graph convolutional networks

Deep Adversarial Domain Mapping

Deep Learning for Depression Detection using Smartphones and Wearable Devices

DeepChem: Drug Discovery and Molecule Representation

Machine Learning

Imprecisely Supervised Learning

Latent Class Discovery and Prediction


Disease Subtyping and Genomics

Composite Traits for Genetic Selection in Agriculture

High Performance Computing for Whole Genome Prediction

Brain Science

Brain-Computer Interface (BCI) Enabled Memory Training for Schizophrenia

LifeRhythm: A Framework for Automatic and Pervasive Depression Screening Using Smartphones

If you are interested in our research, please visit our website and it will answer all your questions.