Academia SInica

MRI Lab

Dennis Hwang
https://www.ibms.sinica.edu.tw/dennis-hwang/ch/

Research Field

Chemistry

Introduction

I am a Principal Investigator at the Institute of Biomedical Sciences, Academia Sinica, working on MRI/NMR method development rooted in physical chemistry and molecular imaging.

My research philosophy emphasizes that MRI contrast should be mechanistically interpretable rather than purely empirical. I focus on building imaging methods that explicitly connect nuclear spin physics, molecular exchange, diffusion, and energy transfer to quantitative imaging signals, and on validating these connections through experiments rather than post hoc fitting.

My work spans multiple MRI modalities, including CEST/DGE, hyperpolarization, diffusion, susceptibility-related modeling, and contrast agent development. Across these areas, I prioritize clear physical assumptions, quantitative rigor, and experimental testability, with the long-term aim of advancing MRI as a tool for probing molecular and microstructural processes in vivo.

The laboratory focuses on MRI/NMR-based methodology development at the interface of physical chemistry, molecular imaging, and neurovascular biology. Rather than applying existing imaging tools as black boxes, we aim to understand and redesign MRI techniques from first principles.

Our work combines theoretical modeling, pulse sequence design, custom RF hardware, and in vivo experiments, supported by quantitative data analysis and AI-assisted pipelines. The lab environment encourages interns and researchers to engage with both conceptual foundations and practical implementation, gaining experience in how imaging methods are constructed, validated, and translated to biological questions.

Projects in the lab typically involve close interaction between model development and experimental testing, with a strong emphasis on learning how assumptions propagate into measurable imaging outcomes.


Research Topics

CEST and Dynamic Glucose-Enhanced MRI (DGE-MRI)

Development of quantitative CEST and DGE MRI methods to probe glucose transport, exchange kinetics, and metabolic-related microenvironmental changes, with emphasis on kinetic modeling and experimental validation.

Parahydrogen-based Hyperpolarization 

Method development using parahydrogen-induced hyperpolarization, focusing on polarization transfer mechanisms, probe chemistry, and sensitivity enhancement for biologically relevant MRI/NMR applications.

NOTCH3-related MRI Methodology

Development of MRI approaches targeting vascular permeability measurement and diffusion MRI–based assessment of neural and microstructural alterations, particularly in the context of NOTCH3-related neurovascular pathology.

Diffusion MRI for Neural Microstructure

Modeling and experimental strategies using diffusion MRI to investigate neuronal organization, axonal geometry, and microstructural heterogeneity in neural tissue.

MRI Contrast Agent 

DevelopmentDesign and evaluation of contrast agents and responsive probes, with attention to their physicochemical mechanisms, interaction with the biological microenvironment, and quantitative imaging performance.


Honor
  • The Best Paper Award: Journal of Chinese Chemical Society (1999).
  • The Young Scientist Award of National Cultural Association (2001).
  • ISI® Citation Classic Award (2001).
  • The Best Dissertation Award of Mr. and Mrs. Yan (2002).
  • The Best Dissertation Award: Chinese Chemical Society, Taipei, Taiwan (2003).
  • The Young Researcher Award: Taiwan Magnetic Resonance Society, Taipei, Taiwan (2009)
  • Innovation Award for Excellent: Comprehensive University System of Taiwan (2014)
  •  Ministry of Science and Technology subsidies for college and universities research rewarding (2021)

Educational Background
  • Ph.D. in Chemistry, National Taiwan University, Taipei, Taiwan, 1997~2002.
  • B.S. in Chemistry, National Taiwan University, Taipei, Taiwan, 1993~1997.

Job Description

Interns are expected to engage with both conceptual understanding and hands-on research, learning how MRI methods are built, tested, and interpreted from first principles.

Preferred Intern Educational Level

  1. Advanced undergraduate students (junior/senior level)
  2. Master’s students

 

Students with a strong interest in pursuing a PhD or a research-oriented career in the future

Preferred academic backgrounds include (but are not limited to):
Physics, Chemistry, Physical Chemistry, Biomedical Engineering, Medical Physics, Electrical Engineering, Neuroscience, or related quantitative life science fields.

Skill sets or Qualities

Technical Background (one or more preferred)

Basic understanding of MRI/NMR principles, physics, or spectroscopy

Experience with data analysis or programming (e.g., MATLAB, Python, or similar)

Familiarity with signal processing, modeling, or quantitative analysis

Interest in molecular imaging, diffusion MRI, or contrast mechanisms

Personal Qualities

Strong curiosity about mechanisms, not just results

Willingness to question assumptions and think critically about models

Comfort working at the interface of theory and experiment

Independence in learning, with the ability to discuss ideas clearly

Motivation to understand why a method works, not only how to use it

Prior direct experience with MRI scanners or wet-lab experiments is not required, provided the intern has strong quantitative reasoning skills and a genuine interest in method development.