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Yu-Chih Chen

Yu-Chih Chen, Ph.D.
Assistant Professor

Ph.D. in Electrical Engineering and Computer Science, University of Michigan, Ann Arbor


Research Summary
Due to genomic and epigenetic instability of cancer cells, inter-patient and intra-patient heterogeneity in tumors creates formidable challenges in identifying optimal treatments. To address the challenges, I aim to establish comprehensive high-throughput multi-omics single-cell analysis including genome, epigenome, transcriptome, proteome, functional, and morphological methods. With large amounts of data collected from high-throughput single-cell multi-omics analysis, machine learning techniques can predict patient prognosis and suggest treatments for precision medicine. The integrated approach will change how we understand and treat cancer and ultimately improve outcomes for patients.


Recent Publications
Zhou M, Ma Y, Chiang CC, Rock EC, Luker KE, Luker GD, Chen YC (2022) High-throughput cellular heterogeneity analysis in cell migration at the single-cell level Small. 2206754:

Chen YC, Gonzalez ME, Burman B, Zhao X, Anwar T, Tran M, Medhora N, Hiziroglu AB, Lee W, Cheng YH, Choi Y, Yoon E, Kleer CG (2019) Mesenchymal stem/stromal cell engulfment reveals metastatic advantage in breast cancer Cell Reports. 27: 3916–3926 Publications 


Project Title
Proj Start Date
Proj End Date
Funding Source
Deciphering Cellular Heterogeneity and Inheritability in Migration 2023 2028 NIH R35