Quantitative BioImaging Lab.

"seeing more with deep learning"

Young Hwan Chang, Ph.D; Assistant Professor in the Department of Biomedical Engineering (BME); the Computational Biology Program in the School of Medicine; OHSU Center for Spatial Systems Biomedicine 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

".. Proving that something can be done that many people said was impossible. - Elon Musk"

Google Scholar ORCID

What's up in QBI Lab?

  • Oct 2021: Tina presented "Strategies to reduce long-term drug resistance by considering effects of differential selective treatments" at the International Symposium on Mathematical and Computational Oncology 2021 (virtual)

  • Oct 2021: Eun-Na presented a poster "Single cell level cellular complexity landscape of oesophageal adenocarcinoma and its precancerous lesions" at the Early Detection of Cancer Conference 2021

  • Sept 2021: Luke presented a poster "VISTA: VIsual Semantic Tissue Analysis for pancreatic disease quantification in murine cohorts" at AACR Virtual Special Conference: Pancreatic Cancer.

  • Sept 2021: Congratulations to Elliot on his successful virtual Master thesis defense!

  • Sept 2021: Luke presented a poster "Feature Controlled Variational Autoencoder for Single Cell Image Analysis" at CSBC Annual meeting.

  • Sep 2021: Welcome Luke Strgar!

  • Sep 2021: Congrats Tina! “Strategies to reduce long-term drug resistance \\by considering effects of differential selective treatments” has been accepted for Oral presentation at International Symposium on Mathematical and Computational Oncology (ISMCO'21, http://ismco.net/).

  • Aug 2021: Congrats Eun-Na! Eun-Na's abstract (Single-cell level cellular complexity landscape of oesophageal adenocarcinoma and its precancerous lesions) has been accepted for a poster session at the virtual Early Detection of Cancer Conference 2021

  • Aug 2021: Congrats Luke! Luke’s abstract has been accepted as a virtual poster at the upcoming AACR Virtual Special Conference on Pancreatic Cancer on September 29-30

  • Aug 2021: "Secure Dynamic State Estimation for Cyber Security of AC Microgrids" has been accepted for publication in Frontiers in Control Engineering, section Nonlinear Control

  • July 2021: Luke Strgar will join QBI Lab as a research software engineer. Welcome!

  • June 2021: Congrats Luke for Intelligent Systems For Molecular Biology & European Conference On Computational Biology (ISMB/ECCB 2021) fellowship

  • May 2021: Congrats Erik on his successful virtual Ph.D. defense and paper acceptance "Toward reproducible, scalable, and robust data analysis across multiplex tissue imaging platforms" has been accepted for publication in Cell Report Methods

  • May 2021: Congrats Luke. "ME-VAE: Multi-Encoder Variational AutoEncoder for Controlling Multiple Transformational Features in Single Cell Image Analysis" (ISMB/ECCB 2021 abstract submission) has been invited to present a poster in the Machine Learning in Computational and Systems Biology (MLCSB COSI)

  • May 2021: Erik and Luke presented their work (poster session) @ HTAN F2F meeting, May 2021

    • Erik Burlingame “Toward reproducible, scalable, and robust data analysis across multiplex tissue imaging platform"

    • Luke Ternes “Feature Controlled Variational Autoencoder for Single Cell Image Analysis”

  • April 2021: YH presented "Accurate Representation for Single Cell Multiplexed Imaging Data" @ M2CH-CSBC Outreach Workshop: Computational and Experimental Approaches to Study Tumor Heterogeneity

  • April 2021: Erik and Luke presented their work @ CSBC / PS-ON Image Analysis Working Group

  • April 2021: Bipasa Bose will join QBI Lab as a BME PhD student. Welcome!

  • Mar 2021: Erik presented "Toward reproducible, scalable, and robust data analysis across multiplex tissue imaging platforms" @ 2021 CSBC West Coast Symposium

  • Mar 2021: Awarded a collaborative multi-PI R01 (with Dr. Wong) NCI grant to leverage computation and chemical biologic analyses of a novel neoplastic cell population within primary tumors and circulation to identify hallmarks that predict metastatic risk of disease.

  • Feb 2021: YH will serve on the International Program Committee (PC) of ISMCO'21 (International Symposium on Mathematical and Computational Oncology).

  • Happy New Year!