Currently a graduate researcher at Cornell CBE. Previously worked as a medical affairs intern at Merck developing a health economic model to quantify the disease burden of HPV-relevant cancers in Taiwan, and data analyst in MT lab at NTUT investigating self-assembly and interfacial phenomena of surfactants.
Currently a master's student at Cornell studying Chemical Engineering with a specialization in Computational Informatics, working with Prof. Varner on developing REST API for accessing real-time financial data. Obtained my B.S. in Chemical Engineering and Biotechnology from National Taipei University of Technology.
My short story…
After conducting several chemical and bioresearch in Taiwan, I clearly understand that we can find the truth only if we possess the power of data science. My undergrad project was focused on molecular simulation and optimization, and at that time my daily task was to use software to generate data that illustrate the properties and attributes of compounds or chemical reactions. However, without the knowledge of statistics and skills in using computational for data analysis, the true fact will still be left behind in the forest. I then self-learned Python and advanced statistics, and finally, those weapons help me find out an efficient model that can simulate ionic surfactants with great accuracy but lower computational cost. This is how I started to love data science.