Alida Palmisano

Research Fellow National Cancer Institute, Biometric Research Branch 9609 Medical Center Dr., Rockville, MD 20850 Email: alida.palmisano@nih.gov Tel: 240-276-6484

Link to Profile in LinkedIn
Profile in ResearchGate
NIH Biometric Research Program
Previous position at VT: Postdoctoral Fellow, 2011-14.

Research Pages: Tyson Lab JigCell

Current Research Interests

I am working with Dr. Tyson (at the Biological Science Dept.) and with Dr. Shaffer (at the Computer Science Dept.) on stochastic modeling of the budding yeast cell cycle. My research work involves developing algorithms and software to support the design and simulation of models describing this specific organism and other models with similar characteristics.

Education

Ph.D. 2010 Univ. Trento, Italy, Information and Communication Technology.
M.S. 2007 University of Trento, Italy, Computer Science and Bioinformatics.
B.S. 2004 University of Trento, Italy, Computer Science.

Professional Experience

2014- Research Fellow, National Cancer Institute, Rockville, MD
2011-2014 Postdoctoral Fellow, Dept. Biology, Virginia Tech, Blacksburg, VA
For a detailed description of Alida' professional experience, please visit her Personal Home Page.

Publications

Palmisano, A., Hoops, S., Watson, L.T., Jones Jr., T.C., Tyson, J.J., and Shaffer, C.A. (2015). JigCell run manager (JC-RM): a tool for managing large sets of biochenical model parametrizations. BMC Syst. Biol. 9: 95.
[Abstract] [Article]
Oguz, C., Palmisano, A., Laomettachit, T., Watson, L.T., Baumann, W.T., and Tyson, J.J. (2014). A stochastic model correctly predicts changes in budding yeast cell cycle dynamics upon periodic expression of CLN2. PLoS One 9(5):e96726.
[Abstract] [Article]
Palmisano, A., Hoops, S., Watson, L.T., Jones, T.C., Jr., Tyson, J.J., and Shaffer, C.A. (2014). Multisite Model Builder (MSMB): a flexible editor for compact biochemical models. BMC Syst Biol 8:42 [Epub ahead of print].
[Abstract] [Article]
Palmisano, A.,  and Priami, C. (2013). Cell cycle modeling, process algebra,  in Encyclopedia of Systems Biology, (Eds Dubitzky, W., Wolkenhauer, O., Cho, K.-H., Yokota, H.) Springer, p 290-293.
[Abstract]
Ferrezuelo, F., Colomina, N., Palmisano, A., Gari, E., Gallego, C., Csikasz-Nagy, A., and Aldea, M. (2012). The critical size is set at a single-cell level by growth rate to attain homeostasis and adaptation. Nature Commun 3:1012.
[Abstract]
Lecca,P., and Palmisano, A. (2012). The present and the future perspectives of biological network inference, in Bioinformatics and Computational Systems Biology: Recent Advances (eds Lecca, P., Tulpan, D, Rajaraman, K), IGI-Global, pp 118-140.
[Abstract] [Article]
Csikasz-Nagy, A., Palmisano, A., and Zamborszky, J. (2011). Molecular network dynamics of cell cycle control: transitions to Start and Finish, Methods Mol. Biol. 761:277-291.
[Abstract] [Article]
Dematte', L., Larcher, R., Palmisano, A., Priami, C., and Romanel, A. (2010) Programming Biology in BlenX, in Systems Biology for Signaling Networks (ed Choi, S.), 1:777-820, Springer.
[Abstract] [Article]
Lecca, P., Palmisano, A., Ihekwaba, A. E., and Priami, C. (2010). Calibration of dynamic models of biological systems with KInfer. Eur. Biophys. J. 39:1019-1039.
[Abstract] [Article]
Lecca, P., Palmisano, A., and Ihekwaba, A. E. (2010). Inferring the kinetic constants of cyclin-triggered expression of Cdc20 gene in eukaryotic cell cycle. Online Journal of Bioinformatics, 11(2):177-216.
Ballarini, P., Mazza, T., Palmisano, A., and Csikasz-Nagy, A. (2009). Studying irreversible transitions in a model of cell cycle regulation. Electronic Notes in Theoretical Computer Science, 232:39-53.
[Abstract] [Article]

Conference Proceedings

Lecca, P., Palmisano, A., and Ihekwaba, A. E. (2010). Correlation-based network inference and modelling in systems biology: the NF-κB signalling network case study. International Conference on Intelligent Systems, Modelling and Simulation, Liverpool, UK (ISMS2010), pages 170-175. IEEE Computer Society.
Palmisano, A. (2010). Coding biological systems in a stochastic framework: the case study of budding yeast cell cycle. First International Conference on Bioinformatics, Valencia, Spain (Bioinformatics 2010).
Lecca, P., Palmisano, A., and Priami, C.(2009). Deducing chemical reaction rate constants and their regions of confidence from noisy measurements of time series of concentration. Cambrige, UK (UKSim2009).
Lecca, P., Palmisano, A., Priami, C. and Sanguinetti, G. (2009). A new probabilistic generative model of parameter inference in biochemical networks. Honolulu, HI (ACM2009).

Personal

Alida was born in Riva del Garda, a small Italian town on the shores of the Garda Lake, surrounded by the Dolomiti Mountains. When not working, Alida loves to cook, draw, hike, read, watch movies and listen to good music, travel and spend time with friends.