Kyubin Lee

Kyubin Lee began their work experience in 2019 as a Mechanical Design Intern at Advanced Solution Engineering. They were responsible for creating CAD models and engineering drawings that were manufactured and implemented within the industry.

In 2019, Kyubin also worked as a Machine Learning Intern at appliedAI Initiative - UnternehmerTUM.

In 2020, Kyubin worked as a Data Science Intern at World Data Lab. They analyzed Pakistan census surveys and studied infant and healthcare data to create datasets and improve maternal health in Pakistan.

In 2021, Kyubin worked as an Undergraduate Student Researcher at Imperial College London. They optimized convolutional neural networks using TensorFlow for modeling nonlinear systems under random vibration. They also developed a duffing oscillator simulator in MATLAB and Python to create synthetic data and analyzed intermediate layer outputs using signal processing techniques.

Currently, Kyubin is working as a Technology Graduate at Dare starting from 2022.

Kyubin Lee pursued a Master of Engineering (MEng) degree in Mechanical Engineering from Imperial College London from 2018 to 2022. Prior to that, Kyubin completed their IB (International Baccalaureate) at the American International School Vienna, spanning the years 2015 to 2018. The field of study during the IB program was not specified.