The Machine Learning in Biomedical Informatics (MLBio+) Laboratory performs interdisciplinary research aimed at development of machine learning and data mining methods for problems in biology and medicine. There is a thrust to improve computing methods and principles and apply them to the grand challenges that lead to understanding of life processes, development of drugs, improvement of human health, increase crop yields, and even better the environment.

There is an emphasis on development of novel algorithms, and engineering of effective solutions. Our research has resulted in development in useful and efficient software tools that aid biologists to make key discoveries, and some of the contributions have advanced the field of computer science. Please refer to the publications page.

Some of the projects that we currently focus on relate to the areas of protein structure and function prediction, metagenomics, new sequencing technologies, and systems biology.

Specifics on Current Projects (Updated Soon)