Multiomics laboratory
Research Field
Chia-Li Han, Ph.D., is an Associate Professor at Taipei Medical University, where she also serves as Director of the Master Program in Clinical Genomics and Proteomics. She received her doctoral training in analytical chemistry from National Taiwan Normal University and completed postdoctoral research at Academia Sinica, establishing a strong foundation in mass spectrometry, chemical biology, and systems-level protein analysis. Her academic career reflects a steady progression from fundamental analytical innovation to clinically oriented translational research.
Dr. Han is internationally recognized for her contributions to functional proteomics, proteogenomics, and membrane proteomics, with sustained research output spanning lung diseases, cancer biology, immune regulation, and environmental health. She has received multiple young investigator and international conference awards and actively contributes to the global proteomics community as a society board member, invited journal editor, and reviewer for leading journals in analytical chemistry, proteomics, and translational medicine. Her work consistently bridges high-resolution technology development with biologically and clinically meaningful applications.
The Han Laboratory is a translational mass spectrometry and systems biology laboratory focused on elucidating disease mechanisms through integrated proteomic and multi-omic analyses. Building on strong expertise in analytical chemistry and biological mass spectrometry, the lab combines quantitative proteomics with complementary omic layers—including genomics, transcriptomics, metabolomics, and immunopeptidomics—to achieve a comprehensive molecular characterization of complex biological systems. This integrative strategy enables the identification of disease-associated pathways, regulatory networks, and clinically relevant biomarkers.
A central mission of the laboratory is to bridge multi-omic data generation with biological interpretation and clinical translation. Advanced mass spectrometry platforms, data-independent acquisition (DIA) workflows, and computational modeling are employed to ensure scalability, reproducibility, and analytical depth. Through interdisciplinary collaboration and rigorous training, the laboratory provides a research environment that supports innovative discovery at the interface of proteomics, precision medicine, and translational biomedical research.
The research program of the Han Laboratory focuses on functional and translational proteomics integrated with multi-omic analyses to elucidate molecular mechanisms underlying human diseases. Core methodological areas include biological mass spectrometry, quantitative and data-independent acquisition (DIA) proteomics, membrane and glycoproteomics, proteogenomics, immunoproteomics, and biomarker discovery. These approaches are combined with complementary omic layers—such as genomics, transcriptomics, and metabolomics—to achieve systems-level understanding beyond single-omic measurements.
Disease-oriented research emphasizes chronic and acute lung diseases, lung cancer, immune dysregulation, and environmental exposure–related pathology. By integrating multi-omic datasets with clinical information and experimental models, the laboratory aims to identify disease subtypes, regulatory networks, and actionable molecular signatures that support precision medicine and translational applications.
Dr. Han has received numerous national and international honors recognizing her scientific contributions to mass spectrometry, proteomics, and translational biomedical research. Notably, she was awarded the Young Scholar Research Award by the Taiwan Society for Mass Spectrometry (2022) and the prestigious C-HPP Young Investigator Award at the Human Proteome Organization (HUPO) World Congress in Dublin (2017), highlighting her impact on the global proteomics community.
Earlier in her career, Dr. Han received multiple young scientist travel awards and best poster/oral presentation awards from major international conferences, including HUPO, AOHUPO, the World Chinese Mass Spectrometry Conference, Cancer Proteomics meetings, and Taiwan–Japan Young Researcher Conferences. These honors reflect sustained excellence, international visibility, and peer recognition of her work across analytical chemistry, proteomics, and translational medicine throughout different stages of her academic career.
Chia-Li Han received her doctoral training in Chemistry from National Taiwan Normal University, where she developed strong expertise in analytical chemistry and mass spectrometry. During her Ph.D. studies, she established a solid foundation in quantitative analysis, instrumental method development, and protein chemistry, which later became the cornerstone of her career in biological mass spectrometry and proteomics.
She earned her Bachelor of Science in Chemistry from Tunghai University. This rigorous chemical training equipped her with a strong understanding of molecular science and experimental design, enabling her to successfully bridge fundamental chemistry with complex biological and clinical research questions in her subsequent academic and translational work.
Job Description
Students will participate in basic laboratory activities and learn how omics technologies are applied to study human diseases. Tasks include sample preparation, literature review, and participation in lab meetings.
Preferred Intern Educational Level
- Undergraduate students (Year 2–4)
- Master students
Skill sets or Qualities
Preferred Skills / Background
- Life sciences, biomedical sciences, pharmacy, chemistry, or related fields
- Basic knowledge of biology or biochemistry
- Basic laboratory skills are a plus
Qualities
- Motivated to learn
- Responsible and detail-oriented
- Willing to work in an international environment
Job Description
Students will be involved in proteomics workflows, data interpretation, and research discussions. Advanced students may participate in multi-omics integration and biomarker-related projects.
Preferred Intern Educational Level
Master’s students (or strong senior undergraduates)
Skill sets or Qualities
Preferred Skills / Background
- Background in life sciences, biomedicine, pharmacy, chemistry, or related fields
- Basic knowledge of omics (proteomics/genomics/metabolomics)
- Experience with data analysis (Excel, R, or Python preferred)
Qualities
- Strong analytical thinking
- Interest in research and data interpretation
- Good communication skills