Mingta is a software engineer in inwinSTACK and focuses on the development of secure and robust semi-automated machine learning strategies for digital health. Mingta is also a Ph. D. Candidates in big data analytics lab of National Chiao Tung University in Taiwan. He focuses on the field of big data, data mining, and biomedical informatics. Mingta has some experiments on medical image and smart transportation by using machine learning (deep learning) relate methodology. In the intelligent transportation field, he was a core number that developing the iRoadSafe platform and win rewards of “Industry Award” in ITS World Congress 2019 and “Edison Awards” in 2019, which focus on sequence-to-sequence trajectory prediction. In the biomedical field, he has experience in data analysis of 3D echocardiography, EEG, and ECG. He has experience in image processing by using deep learning for Cataract image analysis and quantification, as well as Diabetic Retinopathy detection.