Connor Wong

Connor Wong has a diverse work experience that spans across various industries and roles. Connor started their career in 2010 as a Research Intern at the Bioinformatics Institute, A*STAR. In 2012, they joined Helmut Fischer AG as a Graduate Trainee and later moved to Helmut Fischer (South East Asia) as a Regional Application Specialist. In 2016, they worked as a Research Scholar at Johnson Matthey. Currently, they are employed at NetVirta, Inc., where they initially served as a Research Scientist and was later promoted to Lead Research Scientist in January 2019.

Connor Wong completed their education in the field of Materials Science. Connor obtained a Doctor of Philosophy (PhD) degree from the National University of Singapore in 2017. Prior to that, they earned a Bachelor of Engineering (BE) degree from the same university between 2008 and 2012.

In terms of additional certifications, Connor Wong completed several online courses through Coursera. In 2017, they obtained certifications in Advanced Algorithms and Complexity, Excel to MySQL: Analytic Techniques for Business Specialization, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Algorithms on Graphs, Coursera Mentor Community and Training Course, Data Structures, Neural Networks and Deep Learning, Data Visualization and Communication with Tableau, and Machine Learning.