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, Multiplex tissue imaging, Computational modeling of biological systems, Multimodal integration, ML/DL, Control theory
Lab Philosophy: Passionate & Self-motivated Team Player
What's up in QBI Lab?
June 2025: Welcome Suin Jung (B-BRITE Summer Intern, Brown University)!
May 2025: Congrats Mark! "UniFORM: Towards Universal Immunofluorescence Normalization for Multiplex Tissue Imaging" has been accepted in Cell Reports Methods
May 2025: Congrats Zac! Abstract submission ("Automated Rule Synthesis from Literature for Agent-Based Modeling of the Tumor Microenvironment ") has been accepted AACR Special Conference on AI and Machine Learning
May 2025: Congrats Zac and Sandhya (top 9% of 3,667 submissions) MICCAI 2025
April 2025: YH was invited to talk ("Advancing multiplex tissue imaging: 3D reconstruction and Panel reduction") at the ASIP Pathobiology 2025
April 2025: New bioRxiv papers from the lab:
Mar 2025: Zac attends Nvidia GTC and presents poster titled "Learning a Language of Stains: Tokenization Facilitates Interpretable Multiplex Immunofluorescence and Histology Image Synthesis"
Feb 2025: Eric presents poster titled "Exploring Tumor Microenvironment States by Simulating Different Conditions in an Agent-Based Model" at the Gordon Research Conference (Bridging Theory and Technologies in Physical Oncology)
Jan 2025: YH attends the Advanced Workshop on Research Skills in Oncology (Center for Palliative Care, HMS)
Jan 2025: Our collaborative application to the KCI Pilot Award was selected for funding (Drs. Chi, Chang, Heiser, Creason), "Spatial Multi-Omics and Multiplex Tissue Imaging Integration for Mapping Metabolic Niches in Triple-Negative Breast Cancer (TNBC)."
Happy New Year!