Summary
Daniel Szelogowski is a lecturer in computer science and a multidisciplinary researcher with nine years of experience bridging music, signal processing, machine learning, computational neuroscience, and data science. He teaches upper-level theoretical CS and advanced programming while supervising undergraduate research and writing grants, and also works as an independent software engineer and curriculum designer. His background uniquely combines a PhD focus in artificial intelligence with formal training in choral music and applied bioinformatics, enabling cross-disciplinary projects such as music-informed signal processing and organoid intelligence. Comfortable across multiple stacks (see his active GitHub), he brings practical industry experience from freelance engineering and college-level instruction to classroom and research settings. Notably, he has taught both high school and university courses ranging from AP CS and Java/Python data structures to theory of computation, demonstrating an ability to translate deep theory into accessible learning experiences.
9 years of coding experience
5 years of employment as a software developer
Associate of Arts and Sciences - AAS General Studies, Associate of Arts and Sciences - AAS General Studies at University of Wisconsin-Milwaukee
High School Diploma, High School Diploma at Parker High School
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Wisconsin-Whitewater
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Capitol Technology University
Graduate Certificate - GC Applied Bioinformatics, Graduate Certificate - GC Applied Bioinformatics at University of Wisconsin-Green Bay
Articulated Courses, Articulated Courses at Blackhawk Technical College
English, Italian, Spanish, German