Our group develops computational methods for understanding the dynamics, interactions and conservation of complex biological systems. As new high-throughput biological data sources become available, they hold the promise of revolutionizing molecular biology by providing a large-scale view of cellular activity. However, each type of data is noisy, contains many missing values and only measures a single aspect of cellular activity. Our computational focus is on methods for large scale data integration. We primarily rely on machine learning and statistical methods. Most of our work is carried out in close collaboration with experimentalists. Many of the computational tools we develop are available and widely used.
Hai-Son and Shan defend PhD thesis Hai-Son Le and Shan Zhong successfully defended their PhD thesis. Hai-Son's thesis focused on gene expression and molecular interactions while Shan focused on regulatory interactions and networks. Both will receive their PhD degrees during the 2013 commencement. Hai-Son is joining a hedge fund in Chicago while Shan will be running a clinical genomics lab for UPMC. Congratulations Hai-Son and Shan, and good luck!
Marcel accepts new faculty position Marcel Schulz, A Lane Fellow and postdoc in our group is joining the Computer Science department at Saarland University as an Assistant Prof. starting in June. He would also be affiliated with the Max-Planck-Institute for Informatics. Congratulations Marcel, and good luck!
Three ISMB papers This year, the International Conference on Intelligent Systems for Molecular Biology (ISMB) has been extremely selective, with only 40 of roughly 250 submission accepted (~15% rate). We were very fortunate that three of these papers are from our group. You can check them out at the ISMB Proceedings website.