Guanglin Kuang

Guanglin Kuang has extensive experience in the field of data analysis and computational chemistry. From 2011 to 2018, they worked as an Assistant Computational Chemist at GlaxoSmithKline and then as a Computational Chemist at Jiangsu Hengrui Medicine Co., Ltd. In these roles, they were responsible for cluster maintenance, chemical database management, and compound prediction using machine learning and deep learning methods.

From 2018 to 2020, Guanglin worked as a Postdoctoral Fellow at KTH Royal Institute of Technology, where they focused on compound database management and data analysis. Guanglin utilized techniques such as clustering, classification, regression, and recommendation using Spark MLlib, Scikit-learn, and Keras.

Since 2020, Guanglin has been working at ValueChecker.net. Initially, they served as a Data Engineer, responsible for various data-related tasks such as scraping, piping, normalization, warehousing, monitoring, and analysis. Currently, they hold the position of Senior Software Developer and Team Lead, leading the data team in all aspects of data work.

Overall, Guanglin Kuang has a strong background in data analysis and computational chemistry, with expertise in data management, machine learning, and deep learning methods.

Guanglin Kuang completed a Ph.D. in Computational Chemistry from KTH Royal Institute of Technology from 2012 to 2016. Prior to this, from 2009 to 2012, they pursued a Master's degree in Computer Aided Drug Design at East China University of Science and Technology. In their undergraduate years, from 2005 to 2009, Guanglin Kuang studied Pharmaceutical Engineering at Qingdao University of Science and Technology and obtained a Bachelor's degree.