The Dai Lab combine experiments, bioinformatics and mathematical modeling to study the ecology and evolution of microbiome. We focus on developing quantitative models and  synthetic biology tools to engineer microbial communities that play important roles in human health, agriculture and environment.

B.S.  University of Science and Technology of China

Ph.D.   Massachusetts Institute of Technology

   

1.    Wang,S.^*, Dai,L. Evolving generalists in switching rugged landscapes. PLOS Computational Biology (2019) 

2.    Genome-wide identification of anti-interferon functions in influenza A virus enables rational vaccine design. Du, Y., Xin, L., Shi, Y., Zhang, T., Wu, N.C., Dai, L., Gong, D., Brar, G., Shu, S., Luo, J., Reiley, W., Tseng, Y., Bai, H., Wu, T., Wang, J., Shu, Y., Sun, R.^* Science (2018)

3.    Effects of mutations on replicative fitness and MHC-I binding affinity are among the determinants underlying CTL escape of HIV-1 Gag Epitopes. Du, Y.^#, Zhang, T.^#, Dai, L.^#, Zheng, X.^#, Gorin, A., Oishi, J., Wu, T., Yoshizawa J.M., Li, X., Yang O.O., Martinez, O., Detels, R., Sun, R.^* mBio (2017)

4.    Adaptation in protein fitness landscapes is facilitated by indirect paths. Wu, N.C.^#, Dai, L.^#, Olson, C.A., Lloyd-Smith, J.O., Sun, R.^* eLife (2016)

5.    Relation between stability and resilience determines the performance of early warning signals under different environmental drivers. Dai, L.^*, Korolev, K.S., Gore, J. PNAS (2015)

6.    Dynamics of a producer-freeloader ecosystem on the brink of collapse. Chen, A., Sanchez, A., Dai, L., Gore, J^*. Nature Communications (2014)

7.    Slower recovery in space before collapse of connected populations. Dai, L., Korolev, K.S., Gore, J^*. Nature (2013)

8.    Generic indicators for loss of resilience before a tipping point leading to population collapse. Dai, L.^#, Vorselen, D.^#, Korolev, K.S., Gore, J^*. Science (2012)