About Me

Hello! I am Yuzhou Chang, a postdoctoral researcher at the Immuno-Oncology Informatics Group with Dr. Qin Ma, Pelotonia Institute for Immuno-Oncology at The Ohio State University, and Beth Israel Deaconess Medical Center, Harvard Medical School with Dr. Sizun Jinag. My research spans the intersection of spatial omics, immuno-oncology, and computational biology.

Research Interests

• Graph Signal Processing: Leveraging graph-based methods for spatial transcriptomics analysis.
• Multiplexed foundation model development and application: develop and use a foundation model in few-shot and zero-shot cases.
• Spatial Omics Data Analysis: Developing computational tools to study cell-cell communication and tissue architecture.
• Immuno-Oncology Applications: Utilizing spatial transcriptomics for insights into tumor-immune interactions.
• Gene Regulatory Network Inference: Advancing methodologies to decode gene regulation.

Education and working experiences

• Postdoctoral Research: Immuno-Oncology Informatics, OSU & Harvard Medical School (2024–present)
  • Advisor: Prof. Qin Ma, Prof. Sizun Jiang
• Ph.D.: Biomedical Sciences, The Ohio State University (2018–2023)
  • Advisors: Prof. Qin Ma, Prof. Zihai Li
  • Training (computation): Under the umbrella of bioinformatics, graph signal processing, machine learning, deep learning, and large language models.
  • Training (biology and biotechnology): NGS sequencing (scRNA-seq and spatial transcriptomics), Immuno-oncology (lymphocyte cell fates/states in tumor microenvironment), and TCGA data mining.
• Working: Technician, sequencing core, Shanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine (2016-2018)
  • Advisor: Prof. Lei Chen
• B.E.: Biopharmaceutical, China Pharmaceutical University (2012–2016)
  • Advisor: Prof. Weihua Chu

Professional Achievements

I am the developer of tools like SpaGFT, a novel framework for spatial omics analysis using Graph Fourier Transform, and RESEPT, a deep learning framework for tissue architecture identification. For a full list of my publications, please visit my Google Scholar or GitHub profiles.

Teaching & Mentorship

I have contributed as a guest lecturer in courses such as:

• Analysis and Applications of Genome-Scale Data (BMI 8130), The Ohio State University
• Applications of Machine Learning and Artificial Intelligence in Biomedical Informatics (BMI 8050)

Contact Information

• Email: yuzhou.chang@osumc.edu

  chang.1754@osu.edu

  ychang13@bidmc.harvard.edu

• GitHub: BMEngineeR
• Office: 2255 Kenny Rd, Columbus, OH 43210, USA

I am excited to collaborate on advancing the frontiers of bioinformatics and spatial biology. Feel free to reach out!