Chang Liu

Chang Liu has a diverse work experience in various roles and industries. They started their career as a Research Assistant at Xi'an University of Posts and Telecommunications, where they worked on projects related to marketing management and traffic signal control systems. They then joined the Colorado School of Mines as a Graduate Research Assistant, where they developed dynamic models of building systems and analyzed the control of HVAC systems. Additionally, they worked as a Graduate Teaching Assistant, conducting lab sessions and assisting students in digital logic design.

Chang then interned at Philips, where they gained industry experience. This led them to join Philips Lighting as a Research Scientist, where they managed retail shopper behavioral analysis, commissioned a connected system for automated demand response, and supported the development of an energy storage system platform.

After their time at Philips Lighting, Chang joined PFP Cybersecurity as a Senior Software Engineer. In this role, they designed programs to provide machine learning capabilities, developed a cloud-based platform, and led a team to deploy a cloud-based system incorporating anomaly detection technology. They also performed quality assurance and designed automation tests.

Most recently, Chang has been working as a Data Scientist at DSFederal since 2021.

Chang Liu holds a Bachelor of Science degree in Electronic and Information Engineering awarded by Xi'an University of Posts and Telecommunications in the period from 2004 to 2008. Subsequently, they pursued a Masters of Science degree in Engineering: Electrical Specialty from the Colorado School of Mines, which they completed from 2009 to 2011. In addition to their formal education, Chang Liu has obtained certifications in Machine Learning from Coursera Course Certificates in December 2015, and in Tackling the Challenges of Big Data from Massachusetts Institute of Technology (MIT) in March 2015.