Hung-Ching Chang

About Me

I am a PhD student in Biostatistics at Graduate School of Public Health, University of Pittsburgh under the guidance of Dr. George C. Tseng and Dr. Kayhan Batmanghelich. I am also a graduate student researcher under the guidance of Dr. Nader Shaikh at UPMC Children's Hospital of Pittsburgh.

Chen, S.P., Hsu, C.L., Wang, Y.F., Yang, F.C., Chen, T.H., Huang, J.H., Pan, L.L.H., Fuh, J.L., Chang, H.C., Lee, Y.L. and Chang, H.C. (2022). Genome-wide analyses identify novel risk loci for cluster headache in Han Chinese residing in Taiwan. The Journal of Headache and Pain, 23(1), pp.1-13.
Wang, H.Y., Hsieh, T.T., Chung, C.R., Chang, H.C., Horng, J.T., Lu, J.J. and Huang, J.H. (2022). Efficiently Predicting Vancomycin Resistance of Enterococcus Faecium From MALDI-TOF MS Spectra Using a Deep Learning-Based Approach. Frontiers in microbiology, p.1791.
Chang, H.C., Chu, C.P., Lin, S.J. and Hsiao, C.K. (2020). Network hub-node prioritization of gene regulation with intra-network association. BMC Bioinformatics, 21(1), pp.1-11.
Chang, Y.C., Tung, Y.A., Lee, K.H., Chen, T.F., Hsiao, Y.C., Chang, H.C., Hsieh, T.T., Su, C.H., Wang, S.S., Yu, J.Y. and Shih, S.S. (2020). Potential Therapeutic Agents for COVID-19 Based on the Analysis of Protease and RNA Polymerase Docking. Preprints.

In Prep and Review

Chang, H.C., Gorczyca, M. (2023). Book Review of “The Effect: An Introduction to Research Design and Causality”. Accepted by Biometrics.
Chang, H.C., Fang, Y., Gorczyca, M., Batmanghelich, K., Tseng, G.C. (2023+). PECMAN: Partial Sum statistics for High-Dimensional Causal Mediation Analysis with Multi-omics Applications. Manuscripted.
Lee, K.H., Hsieh, T.T., Lee, Y.L., Chang, Y.C., Wang, S.S., Lin, W.C., Fann, G.Z., Chang, H.C., Chen, T.F., Li, P.H., Kuo, Y.L., Wu, H.T., Chen, P.L., Juan, H.F., Tsai, H.K., Chen, C.Y., Huang, J.H. (2023+) An end-to-end web server for human genome association analysis and polygenic risk score predictions. Under review in Genome Medicine.
Chang, H.C., Liao, C.P., Hsiao, C.K. (2023+). A Reference-Based and Data-Driven Method for Gene Network Construction. Manuscripted.

Google Scholar

Institute	Major/Title	Year
University of Pittsburgh, US	Ph.D. in Department of Biostatistics Advisor: Dr. George C. Tseng Dr. Kayhan Batmanghelich	2021 - Now
National Taiwan University, TW	M.S. in Biostatistics at Institute of Epidemiology and Preventive Medicine Advisor: Dr. Chuhsing Kate Hsiao Dissertation: Development of a knowledge-based and data-driven network construction method for gene sets.	2017 - 2019
Freie Universität Berlin, Germany	Guest Scientist in Department of Mathematics and Computer Science Advisor: Dr. Alexander Bockmayr Project: Gene regulation in regulatory flux balance analysis (rFBA)	2018 Summer
National Cheng Kung University, TW	B.S. in Department of Mathematics B.B.A. in Department of Statistics (Dual Degree)	2013 - 2017

On-Going Projects

High-dimensional mediation analysis with multi-omics data (Joint with Yusi Fang)
Identify and validate host signature for UTI and pyelonephritis (collaborate with Dr. Nader Shaikh)
High-dimenisonal survival analysis for lung cancer using representative cluster (collaborate with Dr. I-Fang Chung)

Completed Projects

Title: Project Leader
The Digital Visualization Tool for Survival Analysis with the Gene Network Viewer

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Cooperate with Kohan Lee
Under review in Genome Medicine.

Apply the phylogenetic analysis from Nextstrain on Taiwanese COVID-19 data

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Our device, U-KNOW, is a urine glucose bio-sensor that can allow people to be aware of the risk for developing diabetes.

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