Project Staff
Aidan Wilde
Aidan Wilde is an undergraduate student at the University of Utah, pursuing a double major in Applied Mathematics and Computer Science, with an expected graduation in May 2025. His academic work reflects a strong interest in algorithms, big data, and software engineering. Aidan has conducted research across both the Mathematics and Computer Science departments, developing algorithms related to graph theory and analyzing wave propagation in complex field materials. He interned as a Software Engineer at Siemens EDA, contributing to enterprise-scale backend tools and automation pipelines. For LearnLoop, Aidan developed the core quiz-taking system, enabling a range of traditional psychological and practical assessments, in addition to that, he also contributed to the backend recommendation algorithm, which matches user interests with potential career paths. Aidan has experience with Python, C#, SQL, and web technologies, and brings a problem-solving mindset to every project. Outside of academics, Aidan plays for the University of Utah basketball practice team, is an Eagle Scout, and is on scholarship for the university’s Rocket League esports team.
Brendon Gorelik
Brendon Gorelik is a Computer Science major at the University of Utah and a software engineer originally from Illinois, with a strong interest in big data, scalable software systems, machine learning, and educational technology. He has a diverse range of experience spanning from finance to the aerospace domain, where he has primarily contributed to building software platforms (internal and external) for analytics and machine learning applications. Brendon has interned at Startupbootcamp VC in Australia as a product engineer, at L3Harris as a software engineer focusing on computer vision algorithms, and will be interning at Bill before completing his master’s degree in Computer Science. He has also worked part-time as a Data Scientist for the Utah Department of Government Operations and as a Software Engineer developing ML platforms at L3Harris. Outside of academics and engineering, Brendon enjoys Jiu Jitsu, reading and listening to podcasts, skiing, hiking, and traveling. As part of the LearnLoop Capstone Project, he contributed to content generation and retrieval systems, the job exploration site, and led efforts on system architecture and CI/CD pipeline development.
Mack Fischer
As a computer science major and economics minor, Mack thoroughly enjoys solving real-world problems and learning new things. Currently, he is a teaching assistant for CS 3550: Web Software Development 1, and has previously TA’d for CS 3810: Computer Organization as well as CS 3500: Software Practice 1. Additionally, Mack has previously interned for Ivanti, and plans to intern this summer with CyberArk in Salt Lake City. As a software engineering intern with Ivanti, he had a unique opportunity to work with the software distribution team and contribute to the cloud-based Ivanti Neurons platform. Throughout this capstone project, Mack has worked on auth, user roles, UI/UX, CI/CD, unit testing, deployment, and other miscellaneous features. Some other projects that Mack has worked on as a student include the Ladybird browser project, the web browser engineering textbook, an extension of SketchQL, and various other academic/personal projects. Mack is interested in human-centered computing, deep learning, browsers, hiking, photography, and just about anything tech related. Despite what his name would suggest, he is not interested in fishing, and he does not own a Mac.
Owen Koppe
Owen Koppe is a Computer Science, Applied Mathematics, and Economics triple major at the University of Utah. His main interests are machine learning, building scalable systems, and data science. Previously he has interned at Microsoft, the Utah Jazz, iLumens, and the Salt Lake City Department of Public Lands. After graduation he will be returning to Microsoft as a Software Engineer in the Cloud and AI Division. He has conducted research at the University of Utah under Dr. Pascucci in the Scientific Computing and Imaging Institute. In 2022 he gave an invited talk about cloud optimized file formats for large data sets at the IEEE eSciences conference. During the LearnLoop Capstone project Owen has focused on recommendation algorithm development for both content and career recommendations. Additionally, he has functioned as a full stack software engineer contributing to both the frontend and backend of LearnLoop. Outside of academics Owen enjoys skiing, racing mountain bikes, scuba diving, and white water kayaking.