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?
Dec 2024: Congrats Zac! NVIDIA GTC 2025 poster submission has been accepted ("Learning a Language of Stains: Tokenization Facilitates Interpretable Multiplex Immunofluorescence and Histology Image Synthesis")
Dec 2024: New BioRxiv paper: UniFORM: Towards Universal Immunofluorescence Normalization for Multiplex Tissue Imaging
Nov 2024: YH was invited to talk ("Staining by Numbers") at the Oregon Bioengineering Symposium
Oct 2024: YH attended the Early Detection of Cancer Conference, San Francisco
Multiplex spatial phenotyping in Barrett's Oesophagus for early detection of progression risk (poster presentation)
Sept 2024: Congrats Eric! His application was selected to receive a travel award for HTAN Data Jamboree at the NCI in Nov.
Aug 2024: YH was selected to participate Advanced Workshop on Research Skills in Oncology: https://pallcare.hms.harvard.edu/courses/advanced-workshop-research-skills-oncology
Aug 2024: Congrats Robert! His abstract "COEXIST: Coordinated single-cell integration of serial multiplexed tissue images" has been accepted for a poster session at the Spatial Biology Summit 2024
Aug 2024: YH was invited to participate in the From Atlas to Practice Innovation Lab, Sep 23-27 https://hubmapconsortium.org/from-atlas-to-practice-innovation-lab/
July 2024: YH was invited to talk at the American Society for Investigative Pathology (ASIP) 2025
(tentative title) "From Pixels to Precision: Leveraging AI for Accurate Detection of Circulating Hybrid Cells in Immunofluorescence Images"
June 2024: Eric presented at SIAM Conference on the Life Sciences (LS24), June 10-13, 2024
Eric Cramer, Ashley Anderson, Haylie Helms, Melissa Wong, Luiz Bertassoni, Young Hwan Chang, "Optimization of a Single Cell Bioprinting and Agent-based Modeling Pipeline by Spatiotemporal Representation Learning"
June 2024: Congrats Eric for T32 fellowship award (T32CA254888).
June 2024: Welcome Xavier Serra (PSI Summer Intern, high school)!
June 2024: Welcome Koharu Sakiyama (B-BRITE Summer Intern, UC Berkeley)!
May 2024: Samuel Kim (MD/PhD student) will join QBI Lab for research rotation. Welcome!
April 2024: YH was invited to present a talk at the AI, Systems, and Spatial Biology in Healthcare Symposium 2024, Mayo Clinic, Florida https://www.mayo.edu/research/departments-divisions/artificial-intelligence-informatics/ai-conference
April 2024: A new funding from ACED (University of Cambridge/UCL/OHSU): "Mapping intestinal metaplasia progression across the upper gastrointestinal tract through a common precancer lens"
April 2024: YH presented "Advancing Multiplex Tissue Imaging: 3D Reconstruction and Panel Reduction", Center for Biomedical Data Science (CBDS) Science Day, Knight Cancer Institute, OHSU
Mar 2024: Congrats Zac! "MIM-CyCIF: Masked Imaging Modeling for Enhancing Cyclic Immunofluorescence (CyCIF) with Panel Reduction and Imputation" has been accepted for publication in Communications Biology https://rdcu.be/dDzfJ
Mar 2024: Welcome new member in QBI lab
Sandhya Govindarajan (Computational Biologist, MS in Bioinformatics at Georgia Tech)
Isis Diaz (Research Software Engineer, MS in Bioinformatics and Genomics at Univ of Oregon)
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!
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!