What We Do
Our lab develops and applies computational methods for building predictive and network models of complex biological processes and diseases. These data-driven methods have become critical in the new era biology, which is witnessing an explosion of the amount and types of data like never before. Using such approaches, we have gained successful insights into disease biomarker discovery, large-scale interactions between genes and proteins, and the effect of environmental factors on human health. We also have a continuing interest in the computational prediction of protein function, as well as the development of novel data mining and machine learning methods and developing their implementations for high-performance computing platforms.
Contact UsGaurav Pandey
One Gustave L. Levy Place, Box 1498
New York, NY 10029 Phone: (212) 659-8535
- Our long-awaited paper on improving Prostate Cancer prognosis using imaging, radiomics and machine learning is finally out! This paper has been widely covered by the media, such as in this GEN article.
- Dr. Po-hsiang (Barnett) Chiu has joined the lab!
- Gaurav’s co-authored editorial on outcome modeling in radiomics and radiogenomics has been published in the RED Journal!
- Our collaborative article on the DREAM RV Challenge has been published in Nature Communications!
- Alex Wang‘s paper on large-scale protein function prediction using heterogeneous ensembles and high-performance computing has been published in F1000 Research!