I build software and algorithms with an impact on human health. I have done work in 1) spatial transcriptomics analysis (e.g. STdeconvolve) and 2) machine learning applied to electronic health records (EHR) time series and medical images.
I am fortunate to have been advised by Jean Fan, Nicholas Durr, and Jeff Wang, and I have the pleasure of collaborating with Dr. Jim Fackler and Dr. Sapna Kudchadkar.
Other things I have enjoyed doing include:
I am fortunate to have been advised by Jean Fan, Nicholas Durr, and Jeff Wang, and I have the pleasure of collaborating with Dr. Jim Fackler and Dr. Sapna Kudchadkar.
Other things I have enjoyed doing include:
- building productivity dashboards as a software engineer intern at Hologic
- working on every aspect of a low-cost rapid PCR machine (now Prompt Diagnostics)
- co-founding a student venture working on molecular diagnostics in internal hemorrhage
Publications
Brendan F Miller, Feiyang Huang, Lyla Atta, Arpan Sahoo, Jean Fan
Nature communications, vol. 13, Nature Publishing Group, 2022, pp. 1--13
Xiaobei Luo, Jiahao Wang, Zelong Han, Yang Yu, Zhenyu Chen, Feiyang Huang, Yumeng Xu, Jianqun Cai, Qiang Zhang, Weiguang Qiao, others
Gastrointestinal Endoscopy, vol. 94, Mosby, 2021, pp. 627--638
Roles and regulation of long noncoding RNAs in hepatocellular carcinoma
Lee Jin Lim, Samuel YS Wong, Feiyang Huang, Sheng Lim, Samuel S Chong, London Lucien Ooi, Oi Lian Kon, Caroline G Lee
Cancer research, vol. 79, AACR, 2019, pp. 5131--5139
