Department of Medicine
Faculty Profiles by Division

Department of Medicine

Faculty Profiles

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photo Yu-Chiao Chiu, PhD


Assistant Professor of Medicine, Division of Hematology/Oncology

Faculty Member, Cancer Therapeutics Program, UPMC Hillman Cancer Center

Associate Member, Pittsburgh Liver Research Center


Phone: 412-648-5023

Office: 5051 Centre Ave
Suite 1218
Pittsburgh, PA 15213
Phone: 412-648-5023
Administrative Assistant:
Samantha Coutch
Address: 5051 Centre Ave
Suite 1205
Pittsburgh, PA 15213
Phone: 412-648-5012
Education and Training
PhD, National Taiwan University, Taipei, Taiwan, 2015
BS, National Tsing Hua University, Hsinchu, Taiwan, 2010
Post-doctoral Fellow, University of Texas Health San Antonio, San Antonio, TX, 2022
Research Interest
Dr. Chiu's research interests include bioinformatics, machine learning, cancer genomics, and pharmacogenomics. The goal of his research is to systematically model genomics and pharmacogenomics to study cancer biology and improve cancer therapy.

He is the recipient of a NIH K99/R00 Pathway to Independence Award for his work to develop deep learning methods that extract multi-omic signatures to predict the responses of pediatric cancer cells to chemical and genetic perturbations. He has received grants for his work from the Fund for Innovation in Cancer Informatics (ICI), the San Antonio Life Sciences Institute (SALSI), and the UPMC Hillman Cancer Center Developmental Pilot Program.

Dr. Chiu has published nearly 50 research articles in high-impact clinical and computational journals, of which he is a first/co-first/co-corresponding author for over 20. He has presented his work at many conferences and has been an active member of the academic enterprise, teaching and mentoring others. Dr. Chiu has also received patents for his work to predict prognosis of patients with acute myeloid leukemia.
For my complete bibliography, Click Here.
Selected Publications:
Chiu YC, Zheng S, Wang LJ, Iskra BS, Rao MK, Houghton PJ, Huang Y, Chen Y. Predicting and characterizing a cancer dependency map of tumors with deep learning. Science Advances. 2021; 7(34).
Ramirez R, Chiu YC, Zhang S, Ramirez J, Chen Y, Huang Y, Jin YF. Prediction and interpretation of cancer survival using graph convolution neural networks. Methods. 2021; 192: 120-130.
Chiu YC, Chen HH, Gorthi A, Mostavi M, Zheng S, Huang Y, Chen Y. Deep learning of pharmacogenomics resources: moving towards precision oncology. Briefings in Bioinformatics. 2020; 21(6): 2066-83.
Chiu YC, Chen HH, Zhang T, Zhang S, Gorthi A, Wang LJ, Huang Y, Chen Y. Predicting drug response of tumors from integrated genomic profiles by deep neural networks. BMC Medical Genomics. 2019; 12.
Chiu YC, Hsiao TH, Tsai JR, Wang LJ, Ho TC, Hsu SL, Teng CJ. Integrating resistance functions to predict response to induction chemotherapy in de novo acute myeloid leukemia. European Journal of Haematology. 2019; 103(4): 417-425.
Chiu YC, Hsiao TH, Wang LJ, Chen Y, Shao YJ. scdNet: a computational tool for single-cell differential network analysis. BMC Systems Biology. 2018; 12.
Chiu YC, Hsiao TH, Wang LJ, Chen Y, Chuang EY. Analyzing differential regulatory networks modulated by continuous-state genomic features in glioblastoma multiforme. IEEE/ACM transactions on computational biology and bioinformatics. 2018; 15(6): 1754-64.
Yang YT, Chiu YC, Kao CJ, Hou HA, Lin CC, Tsai CH, Tseng MH, Chou WC, Tien HF. The prognostic significance of global aberrant alternative splicing in patients with myelodysplastic syndrome. Blood Cancer Journal. 2018; 8(8): 78.
Chiu YC, Tsai MH, Chou WC, Liu YC, Kuo YY, Hou HA, Lu TP, Lai LC, Chen Y, Tien HF, Chuang EY. Prognostic significance of NPM1 mutation-modulated microRNA-mRNA regulation in acute myeloid leukemia. Leukemia. 2016; 30(2): 274-84.
Chuang MK, Chiu YC, Chou WC, Hou HA, Chuang EY, Tien HF. A 3-microRNA scoring system for prognostication in de novo acute myeloid leukemia patients. Leukemia. 2015; 29(5): 1051-9.
Notable Achievements
UPMC Hillman Cancer Center Developmental Pilot Program, 2023
Hillman Early Career Fellow for Innovative Cancer Research, 2022
Session Chair, International Conference on Intelligent Biology and Medicine (ICIBM), 2022
Session Chair, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
NIH/NCI K99/R00 Pathway to Independence Award, 2020
The Fund for Innovation in Cancer Informatics – Major Grant, 2020
Fellowship Award and TransMed COSI Best Oral Presentation Award – Third Prize, Conference on Intelligent Systems for Molecular Biology (ISMB), 2020
Ann A. Hollocher Trainee Travel Award, University of Texas Health San Antonio, 2019
2nd Place Poster Presentation, 6th Annual San Antonio Postdoctoral Research Forum (SAPRF), 2018
SALSI Postdoctoral Research Training Fellowship, 2018