[1] An, Z., Piccoli, B., Merrow, M. and Lee, K., 2022. A Unified Model for Entrainment by Circadian Clocks: Dynamic Circadian Integrated Response Characteristic (dCiRC). Journal of Biological Rhythms, 37(2), pp.202-215.
[2] An, Z., Merrill, N.J., Lee, K., Robin, R., Hayat, A., Zapfe, O. and Piccoli, B., 2021. A Two-Step Model of Human Entrainment: A Quantitative Study of Circadian Period and Phase of Entrainment. Bulletin of Mathematical Biology, 83(2), pp.1-29.
[3] An, Z., Merrill, N.J., McQuade, S.T. and Piccoli, B., 2019. Equilibria and control of metabolic networks with enhancers and inhibitors [J]. Mathematics in Engineering, 1(3), pp.648-671.
[4] Merrill, N.J., An, Z., McQuade, S.T., Garin, F., Azer, K., Abrams, R.E. and Piccoli, B., 2018. Stability of metabolic networks via Linear-in-Flux-Expressions. arXiv preprint arXiv:1808.08263.
[5] Lee, K., Shiva Kumar, P., McQuade, S., Lee, J.Y., Park, S., An, Z. and Piccoli, B., 2017. Experimental and mathematical analyses relating circadian period and phase of entrainment in neurospora crassa. Journal of biological rhythms, 32(6), pp.550-559.
Working Papers
[6] An, Z., Cho, W., Ali Al-Radhawi, M., Sontag, E.D. (2023). Embedded Physics informed neural network (ePINN) for parameter and hidden dynamics inference: Identifying resource competition phenotypes in synthetic biochemical circuits. Manuscript in preparation.
[7] An, Z., Tran, A.P., Sadeghi, M., Kareva, I., Tattersfield, H., Ali Al-Radhawi, M., Wu, J., Doloff, J.C., Waxman, D.J. and Sontag, E.D. (2023). Modeling the dynamics of metronomic chemotherapy and developing treatment strategies based on optimal control. Manuscript in preparation.
[8] An, Z., Kareva, I., Wu, J., Waxman, D.J. and Sontag, E.D. (2023). A model reduction approach for metronomic chemotherapy modeling. Manuscript in preparation.
[9] An, Z., Piccoli, B., Grgicak, C. (2023). A mathematical framework to improve and standardize the process of interpretation of DNA evidence. Manuscript in preparation.
Conference Papers
(Proceeding paper)