The University of Advancing Technology (UAT) boasts a cutting-edge Software Engineering faculty dedicated to fostering innovation and technical expertise in students. With a curriculum designed around real-world applications, agile methodologies, and industry-relevant coding practices, UAT’s faculty comprises experienced professionals who bring a blend of academic knowledge and real-world experience to the classroom. They emphasize collaborative development, software architecture, and artificial intelligence to prepare students for the ever-evolving tech landscape.
Rae Crusoe
Professor Rae Crusoe built her first website in ASP over 20 years ago as a Bachelor of Science in Computer Information Systems student at Arizona State University. She volunteered to reverse engineer a Perl website and took to the Internet to learn how to build the website and database. Professor Crusoe has a Master of Science degree in Information Management, also from Arizona State University. Rae has taught a number of IT courses online, along with developing websites in the banking, financial services, economic and non-profit fields. Professor Crusoe has seen the IT field change quite a bit from her first ASP website to today’s mobile development focus.
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Rawad Habib
Professor Rawad Habib has a Master of Science in Computer Science and a Bachelor of Science in Computer Engineering with an emphasis in Management Information Systems. Rawad also maintains certificates in FinTech and Blockchain Development and has participated in Ethereum Blockchain Developer Bookcamp with Solidity. Rawad has a strong background in Fullstack and Blockchain development.
Professor Hinton teaches Artificial Intelligence (AI), Augmented Reality, Mobile Application development, and the Art of Computer Programming. He has been writing code since 1980 and working as a Software Engineer since 1990. During his first quarter of a century as a software engineer and trainer at Fortune 100 companies in the U.S. and Europe, he had a behind-the-scenes seat determining how turning caffeine into code drives different industries.
Having worked almost 15 years at IBM for part of his career, he knows ancient technology such as UNIX, CP/M, DOS, and OS/2. One of his hobbies is software archeology and exorcisms on retro computing.
Other and more normal hobbies include traveling with family, practicing traditional martial arts, and MST3K.
He also has numerous industry certifications, including MCP, MCT, MCSE, and MCSD. Currently, he is earning his second master’s degree.
Ashley McKinney
Mrs. Ashley J. McKinney is a data scientist, educator, and Ph.D. candidate in Health Outcomes Research at Saint Louis University. With over six years of experience in data science and analytics—following a strong foundation in pharmaceutical research and human performance—Ashley brings a multidisciplinary perspective to her role as a faculty member in the Data Science program at the University of Advancing Technology (UAT).
Prior to joining UAT, Ashley worked as a Research Data Analyst at Exos, where she applied advanced analytics and statistical modeling to evaluate health study outcomes and support high-performance human research initiatives. She also served at Pfizer as a Senior Associate Data Scientist and Associate Scientist, leading document automation efforts, validation protocols, and metadata systems for global data management.
Ashley’s technical expertise includes Python, R, SQL, STATA, Power BI, and Microsoft Excel, with specialized skills in data visualization, statistical computing, automation, and technical writing. She is committed to helping students build real-world competencies in data science by bridging rigorous research methods with innovative technology solutions.
Ashley holds a Master of Science in Health Data Science from Saint Louis University, a Biotechnology Certificate from St. Louis Community College, and a Bachelor of Arts in Biology from the University of Missouri–Columbia. She is currently pursuing her Ph.D. with a research focus on improving health outcomes through data-driven methodologies.
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