Shao-Ming Lee

Shao-Ming Lee has a wealth of work experience, beginning in 2009 as a Research Assistant, Graduate Teaching Assistant, and Undergraduate Research Assistant at the Department of Psychology, National Taiwan University. In 2013, they were a Summer Research Intern at the Institut für Experimentelle Psychologie, Universität Regensburg, granted by Deutscher Akademischer Austauschdienst (DAAD) and National Science Council. In 2014, they became an Interaction Designer at BenQ Corporation. From 2016 to 2019, they worked as a Data Science Engineer at InQuartik, and currently works as a Machine Learning Engineer at Kneron.

Shao-Ming Lee completed a Bachelor of Science (BS) in Psychology from National Taiwan University between 2006 and 2010. Shao-Ming then completed a Program in Biological Statistics from National Taiwan University between 2009 and 2012. Lastly, they completed a Master's degree in Experimental Psychology from National Taiwan University between 2010 and 2013. Additionally, they have obtained several certifications from Coursera, including Google Cloud Platform Big Data and Machine Learning Fundamentals (2020), Sequence Models (2018), Convolutional Neural Networks (2018), Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (2018), Mathematics for Machine Learning: Multivariate Calculus (2018), Mathematics for Machine Learning: PCA (2018), Neural Networks and Deep Learning (2018), Structuring Machine Learning Projects (2018), and Mathematics for Machine Learning: Linear Algebra (2018).