- Ph.D., Computer Sciences, University of Wisconsin, Madison, 2021
- M.S., Computer Science, Michigan State University, 2012
- Association for Computing Machinery (ACM), Member
- Institute of Electrical and Electronics Engineers (IEEE), Member
Alex Peer applies his expertise in augmented and virtual reality, human depth perception, computer and data sciences, human-computer interaction and human participant studies to assist clients with a variety of needs. He has experience bringing questions about user's experiences with software or hardware from initial ideation all the way through to actionable insight — from experimental design and execution through to data exploration, statistical analysis, and interactive visualization.
The breadth of his academic training and more than 15 years of programming experience ensures that should a needed experimental stimuli or analysis tool not yet exist, Alex can likely create it.
Alex received his Ph.D. in December 2021 from the University of Wisconsin - Madison, for work focusing on human distance misperception in virtual reality. During this work, he designed software for experimental stimuli and data analysis, as well as experimental protocols to explore the phenomenon of distance misperception. His contributions include a potential mitigation method for distance misperception, and a method to adjust for differences in distance estimates across different methods of measurement. In the course of the work he also developed tools to measure human visual and stereo acuity as mediated by VR displays, and developed a method to correct for tracking artifacts seen in a consumer-grade motion tracking system to make it practical for use in perceptual experiments.
Prior to his Ph.D. work, Alex completed an M.S. degree with a focus on natural language processing in a human-robot interaction context, developing software to drive robot motion and vision. He also co-developed an interactive media creation tool presented as a website, participating as a full-stack developer on a team of two to develop fully custom back- and front-ends, including database architecture, UI/UX, and integrating cloud services.
Alex is a proficient generalist programmer and can approach problems involving any programming language or environment, with particular depth of experience in C++, C#, R, Python, PHP, Java, Javascript, HTML / CSS, and AWS, in contexts including real-time graphics, interactive media, machine learning, embedded systems, wearable technology, and data science.