Ha Le
About Ha Le
Ha Le is an Applied Scientist III at Wyze with extensive experience in software development and research, holding a Ph.D. in Computer Science from the University of Houston.
Current Role at Wyze
Ha Le is currently serving as an Applied Scientist III at Wyze since 2022. Based in Kirkland, Washington, Ha Le applies advanced scientific principles and analytical skills to develop innovative products and solutions. Ha Le's role likely involves significant contributions to research and product development, leveraging extensive experience in software engineering and applied sciences.
Previous Experience at Wyze
Before becoming an Applied Scientist III, Ha Le worked as an Applied Scientist II at Wyze from 2020 to 2022, also located in Kirkland, Washington. In this position, Ha Le was responsible for developing and optimizing applications, potentially contributing to several key projects within the company over the two-year tenure.
Research Assistant Experience
Ha Le has accumulated substantial research experience through roles at various institutions. Among these, Ha Le served as a Research Assistant at CentraleSupelec in 2017 in Paris, France, and at Computational Biomedicine Lab (CBL) in Houston, Texas from 2014 to 2020. Additionally, Ha Le worked at Chonnam National University as a Research Assistant from 2011 to 2013. These roles provided a solid foundation in research methodologies and scientific analysis.
Software Engineering Background
In the early stages of Ha Le's career, significant experience was gained as a Software Engineer at SeeSpace Ltd. from 2013 to 2014 in Hanoi, Vietnam. This position involved developing software solutions, which contributed to Ha Le's expertise in application development for both desktop and mobile platforms. Prior to that, Ha Le worked as a Researcher at Bkav Corp. in Hanoi from 2007 to 2010, focusing on reverse engineering among other technical areas.
Educational Background
Ha Le holds a Doctor of Philosophy (Ph.D.) in Computer Science from the University of Houston, where studies were conducted from 2014 to 2020. Ha Le also earned a Master's degree in Computer Science from Chonnam National University, completed between 2011 and 2013. The educational journey began with a Bachelor of Science in Computer Science from Hanoi University of Science and Technology, achieved from 2005 to 2010.
Technical Expertise
Ha Le possesses strong programming skills in C/C++ and Python. Additionally, Ha Le is proficient in using deep learning frameworks such as TensorFlow, PyTorch, and MXNet. This technical expertise is complemented by three years of experience in reverse engineering and a strong focus on optimizing processes and outcomes, highlighting Ha Le's abilities as a critical thinker and maximizer.