TALKS
INVITED LECTURE
- "Workshop on brain science and data analysis", Department of Information Engineering and Computer Science, Feng Chia University, 7/20-21, 2017
- "Interdisciplinary Lecture: fMRI, EEG/MEG techniques in brain science", Institute of Statistical of Statistical Science, Academia Sinica, 1/2, 2018 ( taught in English )
- "Machine Learning with Python" (Regular course), Taipei Medical University Hospital, 2018-2019
- "Deep Learning in R", Department of Statistics and Information, Fu Jen Catholic University, 7/30, 2018
- "Workshop on brain science and data analysis", Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, 8/6, 2018
- "Workshop on fMRI experiment and Jubrain atlas", Department of Psychology, National Taiwan University, 3/9, 2019
- "Machine learning for medical image analysis", Taipei Medical University Hospital, 7/4, 7/11, 2019
INVITED TALKS
- "Decoding Visual Imagery of Stroke Drawing using EEG data", Swarts Center for Computational Neuroscience, UCSD, Apr., 2016
- "Introduction to big data", Department of Management Science, NCTU, Apr., 2017
- "Big Brain, Big Data: Issues in Human Brain Mapping", Department of Information Engineering and Computer Science, Feng Chia University, Jun., 2017
- "An fMRI Analysis of Reproducible Brain Activity under Natural Stimulation", Institute of Statistical Science, Academia Sinica, Aug., 2017
- "Introduction to deep learning", Department of Management Science, NCTU, Nov., 2017
- "Machine Learning in Neuroimaging", Department of Electrical Engineering, Fu Jen Catholic University, Mar., 2018
- "Machine learning for brain decoding", Institute of Brain Science, National Yang-Ming University, Sep., 2018
- "Introduction to Machine Learning and Deep Learning (Presented in English)", Department of Information Management and Finance, NCTU, Sep., 2018
- "Statistical and Machine Learning Approaches to Functional Neuroimaging Data", Institute of Statistics, NTHU, Sep., 2018
- "How to Apply Machine Learning to Financial Data (Presented in English)", Department of Information Management and Finance, NCTU, Oct., 2018
- "Machine Learning in Neuroimaging", Graduate Institute of Biomedical Informatics, Taipei Medical University, Oct., 2018
- "Deep Learning and Its Applications", Department of Finance, National Dong Hwa University, Oct., 2018
- "A Guide to Recording Brain Activity using EEG", Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Jun, 2019
- "Statistical and Machine Learning Approaches to Functional Neuroimaging Data", Institute of Statistics, National University of Kaohsiung, Jun., 2019
- "Introduction to Web-crawling in Python", Department of Statistics and Information, Fu Jen Catholic University, Jun., 2019
- "When AI Meets Brain Imaging, Taiwan AI academy, Aug., 2019
- "Deep Learning and Its Applications", Department of Management Science, NCTU, Aug., 2019
- "Machine Learning and Statistical Approaches to Functional Neuroimaging Data", Laboratory for Computational Physiology, MIT, Oct., 2019
- "Machine Learning for Medical Image", National Taiwan University Hospital HsinChu Branch, Oct., 2020
- "Collaborative Data Science in Medicine", TMU Research Center for Artificial Intelligence in Medicine, Oct., 2020
- "Statistics in Neuroimaging", Department of Statistics, Feng Chia University, Oct., 2020
- "Data Visualization and Research Finding Presentation", Taiwan Smart Emergency and Critical Care (TSECC) Datathon 2020, NTUU, Nov., 2020
- "The role of data scientist in the era of AI medicine", Institute of Statistical Science, Academia Sinica, Nov., 2020
- "Statistical and Machine Learning in Neuroimaging", Department of Applied Mathematics, National Dong Hwa University, Dec., 2020
- "Collaborative Data Science in Medicine", Department of Electrical Engineering, Fu Jen Catholic University, Dec., 2020
- "Incorporating EEG-Based Neurofeedback for a Computer-Aided Education System", International Forum of NeuroEducation and NeuroImaging, NYCU, Oct., 2021
- "When AI meets Brain Science", Tzu Chi University, Nov., 2021
- "Fairness in Healthcare AI", 2021 Bilateral Workshop between Tohoku University and National Tsing Hua University, Nov., 2021
- "Can AI Be Trusted in Healthcare?", 2022 TIGP seminar, IIS, Academia Sinica, Mar., 2022
- "Fairness in Healthcare AI", Institute of Statistics, NYCU, Mar. 2022
- "Fairness of AI in Medical Imaging Analysis" AI/Algorithmic Fairness and Bias in Healthcare Workshop, NYCU School of Law, May, 2022.
- "Fairness of AI in Medical Imaging Analysis" 2022 Diversity in Radiology and Molecular Imaging: Artificial Intelligence in Cancer, Stanford University, Jun., 2022
- "Disparities and Bias in Healthcare AI" Department of Applied Mathematics, Sun Yat-sen University, Nov., 2022
- "Fairness in healthcare AI" Department of Mathematics, National Central University, Nov., 2022
- "Drop the Shortcuts: Improving fairness and decreasing AI detection of race and other demographics from medical images." Department of Applied Mathematics, National Dong Hwa University, Feb., 2023
- "Could the use of AI for clinical decision making amplify health disparities?", National Center for Research on Earthquake Engineering, Mar., 2023
- "Fairness in Healthcare AI" Keelung Chang Gung Memorial Hospital, Mar., 2023
- "Are we ready for AI in healthcare?" Department of Computer Science and Information Engineering National Cheng Kung University, Apr., 2023
- "Fight for Fairness in AI for Medical Imaging" Institute of Statistical Science, Academia Sinica, Sep., 2023
- "Mitigating Model Bias in AI for Medical Imaging", workshop on Centering Ethics and Equity in Medical Imaging Research and Innovation, at the just ended 3rd DSI-Africa meeting in Kigali, Rwanda, Nov., 2023
- "Mitigating Model Bias in AI for Medical Imaging", NYCU School of Law, Nov., 2023
- "Data Science in Critical Care and Anesthesia", Taiwan Society of Anesthesiologists, Mar., 2024