Systems Biology

At the Systems Biology group, we are developing new methods to learn the networks that run life’s program.

Key aims include developing new methods to annotate genes (characterize the parts list for biology) and building new methods that learn biological networks, and eventually dynamic models (put the parts together). These network models will help us to predict the functional effect of genetic variation, design interventions and therapies, and understand how living systems respond to changes in their environment.

Research Highlights

Lower airway dysbiosis affects lung cancer progression

J Tsay,, B Wu, I Sulaiman, K Gershner , R Schluger, Y Li, T Yie, P Meyn, E Olsen, L Perez, B Franca, J Carpenito, T Iizumi, M El-Ashmawy, M Badri, J. Morton, N Shen, L He, G Michaud, S Rafeq, J Bessich, R L Smith, H Sauthoff, K Felner, R Pillai, A-M Zavitsanou, S B Koralov, V Mezzano, C A Loomis, A L Moreira, W Moore, A Tsirigos, A Heguy, W N Rom, D H Sterman, H I Pass , J C Clemente, H Li, R. Bonneau, K-K Wong, T Papagiannakopoulos, L N Degal

In lung cancer, enrichment of the lower airway microbiota with oral commensals commonly occurs and ex vivo models support that…

Cancer Discovery

Upcoming Events

January 2021
February 2021
March 2021

Group Members

Advancing Research in Basic Science and MathematicsSubscribe to Flatiron Institute announcements and other foundation updates