Sibo Wang-Chen

Publications

NeuroMechFly documentation, complete with tutorials.
I wrote a tutorial on doing machine learning with custom datasets and using transfer learning to facilitate training
I wrote a tutorial on processing geospatial data with Python (Caveat: As I wrote this tutorial quite a while ago, it might not follow current best practices. Also, know that I was only a master student when I wrote it.)

Wang-Chen, S., Stimpfling, V. A., Lam, T. K. C., Özdil, P. G., Genoud, L., Hurtak, F., & Ramdya, P. (2024). NeuroMechFly v2, a framework for simulating embodied sensorimotor control in adult Drosophila. Nature Methods, accepted in principle.
Braun, J.*, Hurtak, F.*, Wang-Chen, S., & Ramdya, P. (2024). Descending networks transform command signals into population motor control. Nature, 630, 686–694. Open Access.

Khan, A., Huerta, E. A., Wang, S., Gruendl, R., Jennings, E., & Zheng, H. (2019). Deep learning at scale for the construction of galaxy catalogs in the Dark Energy Survey. Physics Letters B, 795, 248–258.
Rebei, A., Huerta, E. A., Wang, S., Habib, S., Haas, R., Johnson, D., & George, D. (2019). Fusing numerical relativity and deep learning to detect higher-order multipole waveforms from eccentric binary black hole mergers. Physical Review D, 100(4), 044025.