Nan Papili Gao
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Research Topic
Education
2015 M.S. Biomedical Engineering, University of Bologna
2012 B.S. Biomedical Engineering, Marche Polytechnic University
Experience
2015 Master Thesis, Prof. A. Jaramillo and Prof. E. D. Giordano, University of Warwick and University of Bologna, " Phage therapy: a software system for phage quantification and kinetic model inference".
Presentations
- N. Papili-Gao, S.M.M. Ud-Dean and R. Gunawan. SINCERITIES: Inferring gene regulatory net-works from time-stamped single cell transcrip-tional expression profiles, presented at the 21st Annual International Conference on Research in Computational Molecular Biology (RECOMB), Hong Kong, China, 5 May 2017. (poster)
- N. Papili-Gao, S.M.M. Ud-Dean and R. Gunawan. Inferring gene regulatory networks from single cell expression data, presented at AIChE Annual Meeting, San Francisco, CA, 15 November 2016. (talk)
- N. Papili-Gao, S.M.M. Ud-Dean and R. Gunawan. Gene regulatory network inference using single cell expression data, presented at 6th IFAC Conference on Foundations of Systems Biology in Engineering, Magdeburg, Germany, 10 October 2016. (poster)
- N. Papili-Gao and R. Gunawan, Gene regulatory network inference using cross-sectional single cell data. In SIB Days, Biel, Switzerland, 7-8 June 2016. (poster)
Publications
- Richard, A., Boullu, L., Herbach, U., Bonnafoux, A., Morin, V., Vallin, E., Guillemin, A., Papili-Gao, N., Gunawan, R., Cosette, J., Arnaud, O., Kupiec, J., Espinasse, T., Gonin-Giraud, S. and Gandrillon, O. A surge in cell-to-cell molecular variability precedes the commitment in a differentiation process. PLoS Biology. 14(12): e1002585. doi:10.1371/journal.pbio.1002585. external page abstract
- Papili-Gao, N., Ud-Dean, SMM. and Gunawan, R. Gene regulatory network inference using time-stamped cross-sectional single cell expression data. IFAC-PapersOnLine 49(26): 147-152. external page abstract