Quantitative BioImaging Lab.
"seeing WHAT YOU’VE BEEN MISSING"
Young Hwan Chang, Ph.D; Associate Professor in the Department of Biomedical Engineering (BME); the Computational Biology Program in the School of Medicine; OHSU Center for Spatial Systems Biomedicine, Co-Leader, Knight Cancer Institute Quantitative Oncology Program, Affiliate of the Center for Biomedical Data Science (CBDS), Oregon Health and Science University (OHSU)
Biography: Dr. Young Hwan Chang received his Ph.D in Mechanical Engineering from University of California, Berkeley under the supervision of Prof. Claire J. Tomlin (EECS). Then, he worked as a postdoctoral researcher at Hybrid Systems Laboratory in the Department of Electrical Engineering and Computer Sciences, UC Berkeley. Previously, he also worked at Cognitive Robotics Research Center, Korea Institute of Science and Technology (KIST) and Hyundai-Kia R&D Center.
Research Interests: Quantitative imaging analysis, Data-driven system identification, Control theory, Modeling of biological systems, Estimation, Brain-Machine-Interface, Machine Learning
Lab Philosophy: Passionate & Self-motivated Team Player
What's up in QBI Lab?
April 2024: YH was invited to present a talk at the AI, Systems, and Spatial Biology in Healthcare Symposium 2024, Mayo Clinic, Florida
Mar 2024: YH and Zac attend Nvidia GTC and Zac presents poster: "MIM-CyCIF: Masked Imaging Modeling for Enhancing Cyclic Immunofluorescence (CyCIF) with Panel Reduction and Imputation"
Mar 2024: Keiko Tsuji (Neuroscience Graduate Program student) will join QBI Lab for research rotation. Welcome!
Mar 2024: Welcome Sandhya Govindarajan! (Computational Biologist, MS in Bioinformatics at Georgia Tech)!
Jan 2024: Congrats Robert and the R01 team (Missy & Summer's group)! "Quantitative image analysis pipeline for detecting circulating hybrid cells in immunofluorescence images with human-level accuracy", has been accepted for Cytometry: Part A
Jan 2024: A collaborative paper with Dr. Lund (NYU) "Quantitative multiplex immunohistochemistry reveals inter-patient lymphovascular and immune heterogeneity in primary cutaneous melanoma" has been published in Frontiers Immunology.
Jan 2024: A new collaborative project with Drs. Heiser and Macklin (IU) "Development of a prototype multiscale model designed to predict therapeutic responses of tumor" funded by Jayne Koskinas Ted Giovanis Foundation for Health and Policy
Jan 2024: A new CEDAR project funded ("Making multiplex tissue imaging broadly accessible in the clinic: detection and stratification of early prostate cancer lesions")
Happy New Year!