Hanchen Wang
About Hanchen Wang
Hanchen Wang is an Editorial Part-Time Assistant at Scientific American, where he has worked since 2016. He has experience as a research assistant at prestigious institutions and possesses expertise in machine learning, neural networks, and solar cell technology.
Work at Scientific American
Hanchen Wang has been employed at Scientific American as an Editorial Part-time Assistant since 2016. This role involves assisting in editorial tasks, contributing to the publication's commitment to disseminating scientific knowledge. Wang's position has provided valuable experience in the editorial process within a leading science communication platform.
Education and Expertise
Hanchen Wang holds a Bachelor's degree in Physics from Nanjing University, where studies spanned from 2014 to 2018. Additionally, Wang studied Computer Science and Physics at the University of California, Berkeley from 2016 to 2017. This educational background supports expertise in machine learning, neural networks, and solar cell technology, particularly in renewable energy applications.
Research Experience
Wang has accumulated research experience through various positions. In 2016, Wang worked as a Research Assistant at both UC Berkeley for four months and Stanford University for one month. Currently, Wang serves as a Research Assistant at Nanjing University since 2016, focusing on experimental research and development in the physical sciences.
Technical Skills and Interests
Hanchen Wang engages in projects related to machine learning and neural networks, applying these technologies to innovative applications. Wang has a strong interest in the intersection of technology and physical sciences, particularly in flexible and wearable sensors. Additionally, there is a keen interest in natural language processing and its applications in computational linguistics.
Internship Experience
In 2016, Hanchen Wang completed a two-month internship as a Python Data Analyst at Building Radar in Germany. This role involved data analysis and programming, contributing to the development of analytical skills and practical experience in a professional setting.