Ambarish Nag joined the NREL Computational Science Center in 2009.
- 2012–present, scientist III, NREL
- 2010–2012, research associate, NREL
- 2009-2010, postdoctoral researcher, NREL
- 2006-2009, postdoctoral researcher, Los Alamos National Laboratory, Los Alamos, NM.
- Analysis and integration of high-throughput "omics" data
- Mining and analysis of SNPs from genome re-sequencing data
- Reconstruction of metabolic networks in algae and plants from annotated genome using Pathway Tools
- RNA-Seq data analysis
- Development and simulation of models of metabolic networks in green algae and plants
- Computational biochemistry and enzyme kinetics
- Chemical process modeling
- Theoretical immunology
- Mathematical biology
2006 Ph.D., Computational Chemistry, University of Chicago, Chicago, Illinois
2001 M.S., Chemistry, University of Chicago, Chicago, Illinois
2000 M.S., (2-Year) Chemistry, Indian Institute of Technology, Kanpur, India
1998 B.S., (Honors) Chemistry, Jadavpur University, Kolkata, India.
- Lunacek, M.; Nag, A.; Alber, D.M.; Gruchalla, K.; Chang, C.H.; Graf, P.A. (2011). "Simulation, Characterization, and Optimization of Metabolic Models with the High-performance Systems Biology Toolkit." SIAM Journal on Scientific Computing (33:6); pp. 3402-3424. http://dx.doi.org/10.1137/110822402.
- Guarnieri, M.; Nag, A.; Smolinski, S.; Darzins, A.; Seibert, M.; Pienkos, P. (2011). "Examination of Triacylglycerol Biosynthetic Pathways via De Novo Transcriptomic and Proteomic Analyses in an Unsequenced Microalga." PLoS One (6:10);
- Nag, A.; Monine, M.I.; Faeder, J.R.; Goldstein, B. (2009). "Aggregation of Membrane Proteins by Cytosolic Cross-linkers: Theory and Simulation of the LAT-Grb2-SOS1 System." Biophys. J. (96:7); pp. 2604-2623.
- Nag, A.; Monine, M.; Perelson, A.S.; Goldstein B. (2012). "Modeling and simulation of aggregation of membrane protein LAT with molecular variability in the number of binding sites for cytosolic Grb2-SOS1-Grb2." PLoS One (7:3);
- Nag, A.; Monine, M.I.; Blinov, M.L.; Goldstein, B. (2010). "A Detailed Mathematical Model Predicts That Serial Engagement of IgE-FcεRI Complexes can Enhance Syk Activation in Mast Cells." J. Immunol. (185:6); pp. 3268-3276.