Alex Zhang
About Alex Zhang
Alex Zhang is a Principal Member of Technical Staff at Lawrence Livermore National Laboratory, specializing in III-V photonic and power electronic devices. He has extensive experience in various engineering roles and holds advanced degrees in Electrical Engineering from the University of Connecticut.
Work at Lawrence Livermore National Laboratory
Alex Zhang has been employed at Lawrence Livermore National Laboratory as a Principal Member of Technical Staff since 2022. In this role, he contributes to advanced research and development projects, leveraging his extensive background in photonic and power electronic devices. His work involves applying his expertise in quantum mechanics and quantum computing to address complex technical challenges.
Previous Experience in Semiconductor Industry
Before joining Lawrence Livermore National Laboratory, Alex Zhang held several positions in the semiconductor industry. He worked as a Senior Process Engineer at Cree from 2005 to 2007, followed by a role as Senior Staff Scientist at Veeco from 2008 to 2020. He also served as a Staff Scientist at W. L. Gore & Associates from 2001 to 2003 and as Principal Semiconductor Device Scientist at Teledyne FLIR from 2021 to 2022. These roles provided him with a solid foundation in semiconductor device design and fabrication.
Education and Expertise
Alex Zhang earned both a Master's degree and a Doctor of Philosophy (PhD) in Electrical Engineering from the University of Connecticut, completing his Master's in 1998 and his PhD in 2001. His academic background is complemented by his expertise in the design, fabrication processes, integration, and characterization of III-V photonic and power electronic devices. He possesses advanced knowledge in quantum mechanics, quantum computing, and general relativity field theory.
Technical Skills and Proficiencies
Alex Zhang is skilled in various technical tools and methodologies relevant to his field. He is proficient in PSpice for analog circuit design and programming in C++. Additionally, he has expertise in JMP statistical analysis, including Design of Experiments (DOE), Capability Index (CPK), and Statistical Process Control (SPC). These skills enable him to analyze data effectively and contribute to the optimization of engineering processes.