Journal Publications

[2] X. Zhang, Z. Dou, S. H. Kim, G. Upadhyay, D. Havert, S. Kang, K. Kazemi, K.-Y. Huang, O. Aydin, R. Huang, S. Rahman, A. Ellis-Mohr, H. A. Noblet, K. H. Lim, H. J. Chung, H. J. Gritton, M. T. A. Saif, H. J. Kong, J. M. Beggs, and M. Gazzola, “Mind In Vitro Platforms: Versatile, Scalable, Robust, and Open Solutions to Interfacing with Living Neurons,” Advanced Science, to appear.

[1] Y. Zhang, J. Cui, K.-Y. Chen, S. H. Kuo, J. Sharma, R. Bhatta, Z. Liu, A. R. Ellis-Mohr, F. An, J. Li, Q. Chen, K. D. Foss, H. Wang, Y. Li, A. M. McCoy, G. W. Lau, and Q. Cao, "A smart coating with integrated physical antimicrobial and strain-mapping functionalities for orthopedic implants," Science Advances, Vol. 9, No. 18, May 2023.


Work Presented


[1]  X. Zhang, Z. Dou, G. Upadhyay, S.-H. Kim, D. Havert, K. Y. Huang, A. R. Ellis-Mohr, R. Huang, O. Aydin, S. Kang, T. Saif, H. J. Kong, J. M. Beggs, and M. Gazzola, "A versatile, accurate, low-cost and open-source electrophysiology solution for in-vitro neuronal cultures," American Physical Society March Meeting, March 2023.


[3] “A finite-time Lyapunov exponent analysis pipeline,” Mind in Vitro Symposium, September 2023.

[2] “Dual instability regions in saccadic eye movements: A finite-time Lyapunov exponent analysis,” Summer@Simons Symposium, August 2023.

[1] “Living Computers for Artificial Biological Intelligence,” Harnessing Data for Materials Symposium, August 2022.

Professional Development

[1] Trust Perspectives in Machine Learning, Law, and Public Policy at Northwestern Law