Helen Wang (Qingjun)

Helen (Qingjun) Wang has a diverse work experience in various roles and companies. Helen (Qingjun) started their career as a Research Assistant at the State Key Laboratory in 2013, where they designed a GUI using MATLAB based on Fox-Li method and analyzed the output characters of Gauss beams. Helen (Qingjun) then worked as an Engineer Assistant at Chutian Group Co., Ltd, assisting Italian engineers with industrial cutting and proposing the use of optoelectronic image processing for quality improvement. In the same year, they also worked as a Software Engineer at Quaero Life Science Co., Ltd for a short period of time.

In 2013, Wang began their research work at the Wuhan National Lab for Optoelectronics, where they focused on silicon-based and polymer-based photonic devices. Their research included microstructures of one-dimensional photonic crystal-based All-Optical Fast Switch and photonic crystal-based light transportation characters.

In 2016, Wang joined Oracle as a Software Developer II, working on the Oracle Virtual Networking project. Their responsibilities included developing, maintaining, and enhancing the SDN system for Oracle QDR/EDR Fabric Interconnect. Helen (Qingjun) gained in-depth experience in Linux, including host device drivers for Ethernet/IB high-performance server/host virtual adapters and troubleshooting abilities.

Since 2017, Wang has been working at View, Inc as a Data Scientist. As a senior SOC Engineer, Intelligence, they have been responsible for various data analysis tasks and site operations.

Overall, Wang has demonstrated a strong background in research, software development, and data analysis throughout their career.

Helen (Qingjun) Wang has a strong educational background in the field of engineering and computer science. Helen (Qingjun) completed their Bachelor's degree in Opto-Information Science and Technology at Huazhong University of Science and Technology from 2010 to 2014, achieving a GPA of 3.8 out of 4.0. Helen (Qingjun) then pursued further education at Cornell University, where they obtained a Master's degree in Electrical and Computer Engineering from 2014 to 2016. Additionally, they completed a Master of Engineering (MEng) program in ECE at Cornell University during the same period.

In 2020, Helen attended Stanford University and participated in a Graduate Program focusing on Artificial Intelligence. Alongside their formal education, Helen has also pursued additional certifications to enhance their knowledge and skills. Helen (Qingjun) obtained certifications in various areas, including Convolutional Neural Networks, Structuring Machine Learning Projects, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, and Machine Learning. These certifications were obtained from institutions like deeplearning.ai and Stanford University.

It is worth noting that Helen has additional certifications in Data Visualization with Python and Neural Networks and Deep Learning, but specific information about when and where they obtained these certifications is not available.