Biographical Sketch
Hanxin is a Neurology resident in the Research Track. He was trained to be a scientist in computational sciences and later developed an interest in clinical medicine. He is interested in a variety of modeling methods and would love to explore how research can translate into advances in clinical neurology.
Education & Training
- DO, Kansas City University College of Osteopathic Medicine
- PhD, University of Chicago
- BS, Cornell University and Shanghai Jiao Tong University
Specialized Areas of Clinical, Research and/or Education Interests
Healthcare AI, Bayesian modeling, Systems biology
Honors & Awards
Summa cum laude, Kansas City University College of Osteopathic Medicine
Selected Publications
Zhang, Hanxin, Atif Khan, and Andrey Rzhetsky. "Gene-environment interactions explain a substantial portion of variability of common neuropsychiatric disorders." Cell Reports Medicine 3, no. 9 (2022)
Zhang, Chao, Hanxin Zhang, Atif Khan, Ted Kim, Olasubomi Omoleye, Oluwamayomikun Abiona, Amy Lehman et al. "Lightweight Mobile Automated Assistant-to-physician for Global Lower-resource Areas." arXiv preprint arXiv:2110.15127 (2021).
Zhang, Hanxin, Atif Khan, Qi Chen, Henrik Larsson, and Andrey Rzhetsky. "Do psychiatric diseases follow annual cyclic seasonality?." PLoS biology 19, no. 7 (2021): e3001347.
Zhang, Hanxin, Torsten Dahlén, Atif Khan, Gustaf Edgren, and Andrey Rzhetsky. "Measurable health effects associated with the daylight saving time shift." PLoS computational biology 16, no. 6 (2020): e1007927.
Jia, Gengjie, Yu Li, Hanxin Zhang, Ishanu Chattopadhyay, Anders Boeck Jensen, David R. Blair, Lea Davis et al. "Estimating heritability and genetic correlations from large health datasets in the absence of genetic data." Nature Communications 10, no. 1 (2019): 5508.
