Yi Jen Chen
About Yi Jen Chen
Yi Jen Chen is a Data Scientist at AKUR8 in Paris, France, with extensive experience in machine learning and deep learning. He has a strong academic background in Physics, holding degrees from National Taiwan University and the University of Hamburg, and has worked in various research roles across Europe and Taiwan.
Work at AKUR8
Yi Jen Chen has been employed as a Data Scientist at AKUR8 since 2021. Based in Paris, Île-de-France, France, Chen has contributed to the company's focus on enhancing predictive modeling through advanced data science techniques. The role involves applying machine learning and deep learning methodologies to develop high-performance software solutions.
Education and Expertise
Yi Jen Chen holds a Master of Science (M.S.) in Physics from National Taiwan University, completed between 2009 and 2011. Prior to that, Chen earned a Bachelor of Science (B.S.) in Physics from the same institution from 2005 to 2009. Chen further advanced academic credentials by obtaining a Doctor rerum naturalium (Dr. rer. nat.) from the University of Hamburg, studying from 2012 to 2019. Chen possesses extensive knowledge in machine learning and deep learning, with proficiency in Python frameworks.
Background
Before joining AKUR8, Yi Jen Chen worked in various research roles across Europe and Taiwan. Chen served as a Doctoral Researcher at Deutsches Elektronen-Synchrotron DESY in Hamburg, Germany, from 2012 to 2018. Following this, Chen was a Postdoctoral Researcher at the Max Planck Institute for the Physics of Complex Systems in Dresden, Germany, from 2018 to 2020. Earlier experience includes roles as an Undergraduate Research Assistant and Research Assistant at National Taiwan University.
Achievements
Throughout the academic and professional career, Yi Jen Chen has delivered 18 presentations aimed at diverse audiences, demonstrating the ability to communicate complex scientific concepts effectively. Chen has also completed 10 research deliverables, showcasing a strong capability to apply theoretical knowledge to practical problems. This experience highlights a commitment to advancing scientific understanding and practical applications.