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Juexiao

Juexiao Zhou 周觉晓

Incoming Tenure-track Assistant Professor @CUHK-Shenzhen

Co-founder & Chief AI Scientist @DermAssure.ai

Co-founder & Chief Scientist @BeautyX.ai

Co-founder & CEO @MOSS.ai

Healthcare Ethical AI Lab, HEAL (意为“治愈”，延长人类寿命)

School of Data Science

The Chinese University of Hong Kong, Shenzhen

Email: juexiao.zhou[AT]gmail.com

Office: Building 3, Level 4, Sea Side, 4216-WS23, KAUST

CV (last update: 2025.6) | Github | Linkedln | ORCID | Google Scholar


Openings:

Plans 25 Fall 26 Spring 26 Summer 26 Fall
Remote/Onsite Intern Full Open Open Open
PhD/MPhil students Full Full - Open (2)
Research Assistant Full Full Full Open (2)

Recent News:
  • June 2025, I am happy to serve as the editor of npj Artificial Intelligence
  • May 2025, got my Doctor of Philosophy degree, Ph.D. in Computer Science at King Abdullah University of Science and Technology.
  • May 2025, passed my Ph.D. dissertation defense titled "Towards Privacy-preserving Artificial Intelligence (PAI) for Healthcare and Bioinformatics"
  • May 2025, I am happy to serve as the co-chair of IS-HIS 2025 Symposium, ICCNS2025, Varna, Bulgaria
  • Mar 2025, fair medical LLM paper is accepted by Nature Computational Science (IF=12)
  • Feb 2025, I am invited to attend the launching ceremony of The Global AI for Science Developer Community, 2025 Global Developer Conference, Shanghai, China
  • Jan 2025, pulmonary artery and vein segmentation paper is accepted by Nature Communications (IF=17)
  • Dec 2024, chemical LLM paper is accepted by Communications Chemistry (IF=5.9)
  • Nov 2024, I am happy to join the Editorial Board of BMC Bioinformatics
  • Nov 2024, We showcased MOSS2.ai at Saudi's first Space Tech Incubation Program
  • Sep 2024, GBD 2021 upper respiratory infections is accepted by The Lancet Infectious Diseases (IF=36.4)
  • Aug 2024, AutoBA is accepted by Advanced Science (IF=15.1)
  • Jul 2024, our recent work SkinGPT-4 is reported by Arab News
  • Jun 2024, SkinGPT-4 paper is accepted by Nature Communications (IF=17)
  • Jun 2024, a paper is accepted by Bioinformatics (IF=5.8)
  • May 2024, GBD 2021 Forecasting Capstone paper is accepted by The Lancet (IF=168.9)
  • May 2024, GBD 2021 Risk Factors Capstone paper is accepted by The Lancet (IF=168.9)
  • May 2024, a paper is accepted by Computers in Biology and Medicine (IF=7.7)
  • Apr 2024, GBD 2021 Global incidence, prevalence, YLDs, DALYs, and HALE paper is accepted by The Lancet (IF=168.9)
  • Apr 2024, GBD 2021 Causes of Death paper is accepted by The Lancet (IF=168.9)
  • Mar 2024, GBD 2021 Global fertility paper is accepted by The Lancet (IF=168.9)
  • Mar 2024, Patient privacy paper is accepted by Trends in Genetics (IF=11.4)
  • Mar 2024, GBD 2021 Demographics paper is accepted by The Lancet (IF=168.9)
  • Feb 2024, invited to the TV show "Investing Now for Future in Hong Kong and the Middle East：New Cradle of Innovation" by RTHK 香港電台
  • Dec 2023, PPML-Omics is accepted by Science Advances (IF=15.4)
  • Dec 2023, PPPML-HMI is accepted by Computers in Biology and Medicine (IF=7.7)
  • Nov 2023, invited to give a talk to the Saudi Olympiad Elite Camp
  • Oct 2023, AFS is accepted by Nature Communications (IF=17)
  • Sep 2023, passed my Ph.D. proposal titled "Towards Privacy-preserving Artificial General Intelligence (PAGI) for Healthcare and Bioinformatics"
  • Jun 2023, COVID-19 paper is accepted by Nature Communications (IF=17)
  • Mar 2023, spatial transcriptomics paper is accepted by Nature Communications (IF=17)
  • Feb 2023, invited to give a talk at Rising Stars in AI Symposium 2023 at KAUST
  • Oct 2022, DeeReCT-TSS paper is accepted by Genomics, Proteomics & Bioinformatics (IF=10.1)
  • May 2022, COVID-19 paper is accepted by Nature Machine Intelligence (IF=27.2)
  • Dec 2021, got my master of science degree, M.S. in Computer Science at King Abdullah University of Science and Technology.

Education

He got the Ph.D. degree in Computer Science at King Abdullah University of Science and Technology under the supervision of Prof. Xin Gao from Dec 2021 - May 2025.

He got the Master of Science degree, M.S. in Computer Science at King Abdullah University of Science and Technology under the supervision of Prof. Xin Gao in Dec 2021.

He got the Bachelor of Science degree, B.S. (Honored) in Bioinformatics at Southern University of Science and Technology under the supervision of Prof. Wei Chen in Jun 2020.

I said “Hello World” in January 1999 in China.


Research Interests

  • AI-driven Intelligent Healthcare: I develop cutting-edge AI algorithms, particularly DL and LLMs, to enable disease detection, prognosis, and risk assessment across clinical settings.

  • Bioinformatics: I develop intelligent computational frameworks to decode gene regulatory networks, predict protein function and structure, and model complex biological systems. I also develop curiosity-driven AI scientists based on AI agents.

  • Ethical and Trustworthy AI in Healthcare: I investigate the ethical and societal implications of AI in medicine, focusing on pressing challenges such as privacy, security, bias, fairness, toxicity and so on.


Selected Publications

(# equal contribution, * corresponding author) [Full list]

  1. Pre-trained Multimodal Large Language Model Enhances Dermatological Diagnosis using SkinGPT-4.
    Juexiao Zhou#, Xiaonan He#, Liyuan Sun#, Jiannan Xu, Xiuying Chen, Yuetan Chu, Longxi Zhou, Xingyu Liao, Bin Zhang, Shawn Afvari, Xin Gao*
    Nature Communications
    DOI: https://doi.org/10.1038/s41467-024-50043-3
    Access: online, pdf
    Press: Arab News, ChicHue, KAUST Discovery, 转化医学网

  2. A unified method to revoke the private data of patients in intelligent healthcare with audit to forget.
    Juexiao Zhou#, Haoyang Li#, Xingyu Liao, Bin Zhang, Wenjia He, Zhongxiao Li, Longxi Zhou, Xin Gao*
    Nature Communications
    DOI: 10.1038/s41467-023-41703-x
    Access: online, pdf
    Press: KAUST Discovery, Enerzine

  3. PPML-Omics: A privacy-preserving federated machine learning method protects patients’ privacy in omic data.
    Juexiao Zhou#, Siyuan Chen#, Yulian Wu#, Haoyang Li, Bin Zhang, Longxi Zhou, Yan Hu, Zihang Xiang, Zhongxiao Li, Ningning Chen, Wenkai Han, Di Wang and Xin Gao*.
    Science Advances
    DOI: 10.1126/sciadv.adh8601
    Access: online, pdf
    Press: Inside Precision Medicine, Today Headline, Tech Xplore, ScienMag, Bioengineer.org, Newswise, EurekAlert, Biocompare, nabd.ws

  4. An AI Agent for Fully Automated Multi-omic Analyses.
    Juexiao Zhou#, Bin Zhang#, Guowei Li, Xiuying Chen, Haoyang Li, Xiaopeng Xu, Siyuan Chen, Liwei Liu, Xin Gao*
    Advanced Science
    DOI: https://doi.org/10.1002/advs.202407094
    Access: online, pdf
    Press: CBIRT news, Medium

  5. Patient privacy in AI-driven omics methods.
    Juexiao Zhou, Chao Huang, Xin Gao
    Trends in Genetics
    DOI: https://doi.org/10.1016/j.tig.2024.03.004
    Access: online, pdf

  6. Annotating TSSs in Multiple Cell Types Based on DNA Sequences and RNA-seq Data via DeeReCT-TSS.
    Juexiao Zhou#, Bin Zhang#, Haoyang Li, Longxi Zhou, Zhongxiao Li, Yongkang Long, Wenkai Han, Mengran Wang, Huanhuan Cui, Wei Chen, Xin Gao*.
    Genomics, Proteomics & Bioinformatics
    DOI: 10.1016/j.gpb.2022.11.010
    Access: online, pdf

  7. Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI.
    Juexiao Zhou#, Longxi Zhou#, Di Wang, Xiaopeng Xu, Haoyang Li, Yuetan Chu, Wenkai Han, Xin Gao*
    Computers in Biology and Medicine
    DOI: 10.1016/j.compbiomed.2023.107861
    Access: online, pdf

  8. A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics.
    Haoyang Li#, Juexiao Zhou#, Zhongxiao Li, Siyuan Chen, Xingyu Liao, Bin Zhang, Ruochi Zhang, Yu Wang, Shiwei Sun, Xin Gao*
    Nature Communications
    DOI: 10.1038/s41467-023-37168-7
    Access: online, pdf
    Press: BioMed, CBIRT news, KAUST news
    Chosen as Editors’ Highlights in Nature Communications

  9. An Interpretable Deep Learning Workflow for Discovering Sub-Visual Abnormalities in CT Scans of COVID-19 Inpatients and Survivors.
    Longxi Zhou#, Xianglin Meng#, Yuxin Huang#, Kai Kang#, Juexiao Zhou, Yuetan Chu, Haoyang Li, Dexuan Xie, Jiannan Zhang, Weizhen Yang, Na Bai, Yi Zhao, Mingyan Zhao, Guohua Wang, Lawrence Carin, Xigang Xiao, Kaijiang Yu, Zhaowen Qiu, Xin Gao*.
    Nature Machine Intelligence
    DOI: 10.1038/s42256-022-00483-7
    Access: online, pdf

  10. Evaluating and mitigating bias in AI-based medical text generation.
    Xiuying Chen, Tairan Wang, Juexiao Zhou, Zirui Song, Xin Gao, Xiangliang Zhang
    Nature Computational Science
    DOI: 10.1038/s43588-025-00789-7
    Access: online, pdf


Short Bio

Juexiao Zhou is a Tenure-track Assistant Professor at the School of Data Science, The Chinese University of Hong Kong, Shenzhen. He obtained his bachelor’s degree in Bioinformatics from the Southern University of Science and Technology (SUSTech) in 2020 and his Ph.D. degree in Computer Science from King Abdullah University of Science and Technology (KAUST) in 2025. He is also the co-founder and Chief AI Scientist at DermAssure.ai, MOSS.ai, and BeautyX.ai. His research lies at the intersection of computer science and biomedicine, with a primary focus on AI-driven intelligent healthcare, bioinformatics, and ethical and trustworthy AI in healthcare. Juexiao develops cutting-edge deep learning models and large language models (LLMs) to enable disease detection, prognosis, and risk assessment across clinical settings. In the domain of bioinformatics, he builds intelligent computational frameworks to decode gene regulatory networks, predict protein structure and function, and model complex biological systems. His recent research also explores curiosity-driven AI agents as autonomous scientific researchers. He is committed to advancing ethical AI in healthcare, tackling key challenges such as data privacy, bias, fairness, security, toxicity, and the broader implications of emerging Artificial General Intelligence (AGI) in clinical practice. Juexiao has authored over 30 publications in top-tier journals and conferences, including Science Advances, Nature Machine Intelligence, Nature Computational Science, Nature Communications, The Lancet, Genome Research, Trends in Genetics, Bioinformatics, IEEE TMI, and MICCAI. His work has been featured by major media outlets such as Arab News, Radio Television Hong Kong (RTHK), and Inside Precision Medicine. He is an active member of CAAI, APBioNET, and GBD. He serves as a reviewer for leading journals and conferences, including Nature, Nature Methods, Nature Communications, Medical Image Analysis, Genome Biology, Genome Research, NeurIPS, SIGKDD, and MICCAI. He is also an editorial board member of BMC Bioinformatics and a guest editor for Biomedical Informatics.


Academia Experience


Industry Experience

  • Co-founder & CEO, MOSS.ai, Sep 2024 - Present

  • Co-founder & Chief Scientist, BeautyX.ai, Sep 2024 - Present

  • Co-founder & Chief AI Scientist, DermAssure.ai, April 2024 - Present


Teaching Experience

[Full list]

  • CS220, Data Analytics - AI Camp for Ministry of Interior, Fall 2024/2025, Saudi Arabia

    • Cooperated with Prof. Xin Gao
    • Position: Teaching Assistant

  • CS220, Data Analytics, Fall 2024/2025, KAUST

    • Cooperated with Prof. Xin Gao
    • Position: Teaching Assistant

  • CS220, Data Analytics - AI Camp for Ministry of Interior, Fall 2023/2024, Saudi Arabia

    • Cooperated with Prof. Xin Gao

    • Position: Senior Teaching Assistant

  • CS220, Data Analytics, Fall 2022/2023, KAUST

    • Cooperated with Prof. Xin Gao
    • Position: Teaching Assistant

  • BioE 201/230 Foundations of Bioengineering, Fall 2022/2023, KAUST

    • Cooperated with Prof. Xin Gao
    • Position: Guest Lecturer, Building 9 Room 4225
    • Contents:
      • Lab 1. Genome data analysis, 2022.08.30, colab
        • Python basics
        • D/RNA sequence analysis
        • Biopython
        • BLAST
        • Reference genome
      • Lab 2. Protein sequence analysis, 2022.09.06, colab
        • Protein sequence analysis
        • MSA
        • PDB
        • PyMOL
        • Secondary structure prediction
      • Lab 3. Protein structure and function, 2022.09.13, colab
        • Ab initio with PyRosetta
        • AlphaFold2
        • NucleicNet
        • Docking with Smina
        • Pfam annotation with deep learning

  • CS398 Graduate Seminar, Spring 2022, KAUST

    • Cooperated with Prof. Dominik Michels
    • Position: Teaching Assistant

Mentoring

[Full list]

I’m very glad to work and grow together with these excellent students.


Honors & Awards

King Abdullah University of Science and Technology

KAUST, 2021-Present

PhD, Computer Science

GPA: 4.00 / 4.00

  • CEMSE Dean’s List Award, 2025
  • CEMSE Dean’s List Award, 2024
  • CEMSE Dean’s List Award, 2023
  • KAUST AII’s NeurIPS travel grant, 2022
  • CEMSE Dean’s List Award, 2022
  • Excellent Research Award, CEMSE, 2021

King Abdullah University of Science and Technology

KAUST, 2020-2021

Master of Science, Computer Science

GPA: 3.95 / 4.00

  • Student ambassador, CEMSE, 2021
  • Yearly best student award, CEMSE, 2021
  • Full scholarship for MS/PhD study, 2020

Southern University of Science and Technology

SUSTech, 2016-2020

Bachelor of Science, Bioinformatics, Biology

GPA: 3.92 / 4.00 (Top 0.1%), Core GPA: 3.94/4.00

  • Outstanding graduate of SUSTech, 2020.
  • Cum Laude Graduate of the Department of Biology (Top 1/10), 2020.
  • The Guinness world record for “the most vows received by a single civilized act activity”, 2019
  • Candidate for 2019 National Scholarship, 2019
  • Summer social practice excellent experience Award, 2018
  • Excellent Student, The First Prize Scholarship, 2018
  • Outstanding volunteer for the 12th CBIS Biennial Meeting, Shenzhen, China, 2018
  • Candidate for 2018 National Scholarship, 2018
  • Outstanding Volunteer of the 3rd Shenzhen International Life Science & Health Industry Summit (2016)
  • Excellent Student, The First Prize Scholarship, 2017
  • Dean scholarship, The First Prize Scholarship, 2017
  • Excellent Student Cadre, 2017
  • Outstanding Volunteer of 2017 Shenzhen International Precision Medicine Summit, 2017
  • Alma mater practice excellent team, 2017
  • National Literary Creation Award, 2016
  • Excellent Student, The Second Prize Scholarship, 2016

Memberships

  • Chinese Association for Artificial Intelligence (CAAI) Member
  • The international Asia-Pacific Bioinformatics Network (APBioNET) Member
  • Global Burden of Disease (GBD) Collaborator Network Member

Press Coverage

  • SkinGPT-4 was covered by:
    • How a Saudi university is using AI to transform the diagnosis and treatment of skin diseases, Arab News
    • How Saudi Arabia’s SkinGPT-4 is Revolutionizing Skin Care?, ChicHue
    • 皮肤诊断“智能”升级：阿卜杜拉国王科技大学团队引入多模态大语言模型, 澎湃新闻
    • AI tool for diagnosing skin disorders, KAUST Discovery
  • PPML-Omics protects patients’ privacy in omic data was covered by:
    • Algorithm Proposed to Protect Patient Privacy, Inside Precision Medicine
    • An integrated shuffler optimizes the privacy of personal genomic data used for machine learning, Today Headline
    • An integrated shuffler optimizes the privacy of personal genomic data used for machine learning, Tech Xplore
    • Shuffling the deck for privacy, ScienMag
    • Shuffling the deck for privacy, Bioengineer.org
    • Shuffling the deck for privacy, Newswise
    • Shuffling the deck for privacy, EurekAlert
    • Novel Privacy-Preserving Machine-Learning Method Developed for Genomics Data, Biocompare
    • نهج ثوري يحافظ على خصوصية البيانات الطبية, nabd.ws
    • Revolutionizing Healthcare: Secure Multi-Party Computation and Privacy-Preserving Machine Learning, BNN Breaking
    • An integrated shuffler optimizes the privacy of personal genomic data used for machine learning, Microsoft Start
    • Shuffling The Deck For Privacy, Eurasia Review
  • Audit to forget was covered by:
    • Un logiciel pour garantir le droit à l’oubli des patients dans l’IA en milieu de santé, Enerzine
    • Safeguarding the right to be forgotten, KAUST Discovery

Invited Talks

  • [2025/06/06] 迈向智慧医疗的伦理人工智能（Towards Healthcare Ethical AI）
    • Oral. BAAI Conference, 2025 (北京智源大会), Beijing, China.
  • [2025/05/15] Pre-trained Multimodal Large Language Model Enhances Dermatological Diagnosis using SkinGPT-4.
    • Poster. Inaugural KCSH Conference: Shaping the Future of Smart Health, Jeddah, Saudi Arabia.
  • [2025/02/24] Private Artificial Intelligence (PAI) for Healthcare.
    • Oral. Shanghai Innovation Institute, China.
  • [2024/11/27] Pre-trained Multimodal Large Language Model Enhances Dermatological Diagnosis using SkinGPT-4.
    • Poster. 1st International Health Conference on Quality and Organization Excellence, Jeddah, Saudi Arabia. certificate
  • [2024/11/04] Private Artificial Intelligence (PAI) for Healthcare.
    • Oral. Westlake University, China.
  • [2024/10/28] Private Artificial Intelligence (PAI) for Healthcare.
    • Oral. CUHK-Shenzhen, China.
  • [2024/10/22] Pre-trained Multimodal Large Language Model Enhances Dermatological Diagnosis using SkinGPT-4.
  • [2024/08/15] AI for Healthcare: Pre-trained Multimodal Large Language Model Enhances Dermatological Diagnosis using SkinGPT-4.
    • Oral. 汕头大学医学院“智能计算赋能医学”, 中国
  • [2023/11/22] Introduction to ChatGPT and Application of GPT in Healthcare.
    • Oral. Saudi Olympiad Elite Camp, King Abdullah University of Science and Technology, Saudi Arabia
  • [2023/09/20] A Unified Method to Revoke the Private Data of Patients in Intelligent Healthcare with Audit to Forget.
    • Oral. CBRC Seminar, King Abdullah University of Science and Technology, Saudi Arabia
  • [2023/06/12] SkinGPT-4: An Interactive Dermatology Diagnostic System with Visual Large Language Model.
  • [2023/03/02] Audit to Forget: A Unified Method to Revoke Patients’ Private Data in Intelligent Healthcare.
  • [2023/02/02] Audit to Forget: A Unified Method to Revoke Patients’ Private Data in Intelligent Healthcare.
  • [2022/11/10] Privacy in Bioinformatics and Intelligent Healthcare.
    • Poster. Smart-Health Student Research Symposium, KAUST, Saudi Arabia
  • [2022/03/29] PPML-Omics: a Privacy-Preserving federated Machine Learning system protects patients’ privacy from omic data
    • Oral. CBRC Dual Seminar, King Abdullah University of Science and Technology, Saudi Arabia
  • [2022/03/09] PPML-Omics: a Privacy-Preserving federated Machine Learning system protects patients’ privacy from omic data
    • Oral. BDAI重点实验室研究生沙龙第19期, 中国人民大学高瓴人工智能学院，中国北京

Academic Services

Reviewer

Journal/Conference # Paper Reviewed
AI4D3 @ NeurIPS 2023 1
BMC Artificial Intelligence 1
BMC Bioinformatics 2
BMC Medical Informatics and Decision Making 1
Computers in Biology and Medicine 21
Computational Biology and Chemistry 3
Computerized Medical Imaging and Graphics 2
Computational and Structural Biotechnology Journal 1
Genome Biology 1
Genome Research 2
Heliyon 1
IJCAI-ECAI 2022 1
ICONIP 2020 1
ICMLA 2021 1
International Journal of Intelligent Systems 1
IEEE Transactions on Knowledge and Data Engineering 1
International Journal of Machine Learning and Cybernetics 1
Journal of Bioinformatics and Computational Biology 1
Knowledge and Information Systems 1
Medical Image Analysis 2
MICCAI 2020 1
MICCAI 2024 5
Multimedia Systems 1
Nature 1
Nature Methods 2
Nature Communications 3
npj Precision Oncology 1
npj Digital Medicine 1
SIGKDD 2022 2
Scientific Reports 2

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Updated on 2025-06-28  9b7cf6c
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