Meet Our Team

Team Members

Bohan Liu
Bohan Liu

Bo Liu is a technologist and social innovator working at the intersection of AI governance, data equity, and civic empowerment. As a co-founder of Koan, an integrated, AI-wise learning management system, Bo brings expertise in computational design, technology ethics, and AI modeling. With experience across China and the U.S., Bo integrates a quantitative, human-centered perspective into biomedical innovation, emphasizing transparency, inclusion, and societal impact.

Contribution & Role: Leads software development, data analysis, and AI-assisted antibody modeling, supporting computational design and wiki architecture. Represents the team in in-person presentation and policy discussions during the iGEM Grand Jamboree.

TAM In Pan
TAM In Pan

Ben is an MBBS student at Macau University of Science and Technology, focusing on public health and cardiovascular translational research. His previous humanitarian missions across Asia and Africa strengthened his commitment to health equity and clinical innovation. Skilled in cell culture, RNA extraction, Western blot, ELISA, and exosome analysis, Ben contributes a strong foundation in experimental validation and biomedical application.

Contribution & Role: Responsible for project management, wet lab coordination, and biomedical validation. Participates in human practice design and serves as one of the on-site presenters in the final competition.

MA Chi Yung
MA Chi Yung

Vanessa is a medical student from Macau with Clinical Science certifications from Harvard Medical School. Her research centers on stem cell–based therapeutic strategies for cardiovascular diseases, and her work has been presented at international scientific conferences. As Regional Chairperson of the Asian Medical Students' Association (AMSA), she fosters global health collaboration and advances leadership in medical innovation across the Asia-Pacific region.

Contribution & Role: Oversees human practice, stakeholder engagement, and ethics integration. Supports outreach communication and serves as an in-person representative at the iGEM final defense.

Xingjian
Xingjian

Xingjian is a fourth-year student in the eight-year MD program at Peking Union Medical College. His interests lie in tumor immunology, with early exposure to machine learning in biomedical research and training in molecular and cellular biology. He focuses on tumor microenvironment and immunotherapy resistance mechanisms.

Contribution & Role: Part of the wet lab and experimental research group, responsible for antibody functional testing, immunoassay design, and data analysis of molecular results. Supports experimental record keeping and internal documentation.

Dianzhe Tian
Dianzhe Tian

Dianzhe is an MD candidate in the eight-year clinical medicine program at Peking Union Medical College. His research covers hepatobiliary malignancies, AI-based radiomics, and multi-omics analysis related to exosomes. He has authored 11 SCI papers (7 first/co-first) and led two national innovation projects.

Contribution & Role: Heads the analysis and data management team, integrating radiomics, omics, and imaging data into model optimization. Guides computational design validation and contributes to wiki data visualization.

Rui Cong Wu
Rui Cong Wu

Rui Cong is a fourth-year Clinical Medicine major at Xuzhou Medical University, with a minor in Emergency Management. She leads a national innovation project exploring AI in rare disease education, with one first-author SCI paper. Her expertise includes questionnaire design, SPSS analysis, patch-clamp, and confocal microscopy.

Contribution & Role: Supports human practice, data management, and survey-based community research, focusing on the social and educational dimensions of immunotherapy accessibility. Also contributes to wiki content writing and visual material preparation.

Xinyao
Xinyao

Xinyao is an MD-PhD student in the eight-year clinical medicine program at Peking University Health Science Center, currently training at Peking Jishuitan Hospital. Her doctoral research centers on multimodal imaging and biomechanical analysis of musculoskeletal systems. Skilled in MATLAB data modeling and organoid culture, she bridges experimental biology and quantitative modeling.

Contribution & Role: Leads biomechanical simulation and modeling, providing quantitative evaluation of antibody interaction pathways. Assists in data visualization, wiki structure, and remote documentation of experimental processes.

Team Advisor

Zhuolin Liu
Zhuolin Liu

Liu Zhuolin is a bioengineering professional currently based in Hangzhou. He holds a Bachelor's degree in Bioengineering from Northwest University and a Master's degree from the Chinese Academy of Sciences. With extensive experience in iGEM, he has been actively involved in the competition since 2018, taking on roles ranging from team member and modeling lead to student instructor. He founded the iGEM team at Northwest University and provided guidance across multiple synthetic biology projects, demonstrating strong leadership and mentorship throughout his involvement.

Contribution & Role: The core responsibility of an Advisor is to provide professional advice, guidance, and strategic direction, helping individuals, teams, or organizations make more informed decisions, solve problems, and achieve their goals.

Principal Investigator

Kang Zhang
Kang Zhang

Kang Zhang (Chinese: 张康) is a Chinese-American ophthalmologist specializing in ophthalmic genetics and aging processes in the eye. He is currently a Professor of the Faculty of Medicine at Macau University of Science and Technology. He was previously a Professor of Ophthalmology and the Founding Director of the Institute for Genomic Medicine at the University of California, San Diego. Zhang is particularly known for his work on lanosterol, stem cell research (particularly limbal stem cells), gene editing, and artificial intelligence.

Contribution & Role: As Principal Investigator, Professor Zhang provides strategic oversight and scientific guidance for the project, leveraging his expertise in genetics, stem cell research, and AI to advance our team's innovative approaches in synthetic biology.