whoami

I’m a Human Systems Engineer and psychologist with a solid foundation in computer science, passionate about humanizing complex systems. My work intends to explore the fascinating overlap between the computational processes of a computer and the cognitive functions of the human mind. Outside of my professional pursuits, I’m an avid adventurer and a hobbyist photographer, always seeking new perspectives both in life and through my camera lens!

Actively pursuing a full-time or part-time opportunity

That is specializing in Human Factors Engineering, VR/AR Development, UX/UI Design, Cognitive Systems Engineering, Health Systems Engineering, Ergonomics, Human Performance Analysis, and Data Science (Human/Social Data Insights).

Meet Joshua

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Hey there, 👋 thanks for visiting my page! I'm Joshua, and I’m passionate about solving problems, connecting with people, and creating human-centered software and hardware. My journey started in Bozeman, Montana, where I earned a Bachelor of Science in Psychology with a focus on human cognition, and minored in Computer Science at Montana State University. I've always been fascinated by both people and computers, eager to understand how they work and where they intersect. These days, I’m driven by curiosity and constantly look for ways to improve myself—whether it’s coding in a new programming language or tackling a software design challenge. I enjoy the process of learning and growing every step of the way.

Recent Projects

Reducing Human Error And Enhancing Security in EHR Systems

Problem: Healthcare industry faces a significant problem of data security breaches and cyberattacks, primarily due to human error and systemic vulnerabilities. EHR software, often complex and poorly designed, contributes to accidental errors and oversights.

Tools Used: Adobe Express, Adobe XD, Miro, Excel, Python

Research Phase: Conducted stakeholder interviews, analyzed user workflows, and iterated prototypes based on user feedback.

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Impact of Algorithmic Content Delivery on Working Memory Capacity and Executive Attention.

Problem: Study proposes the investigation of the potential negative impacts of social media algorithms on users' cognitive functions. Specifically, we will examine how features like content ranking, recommendations, and infinite scrolling may overload cognitive resources, leading to diminished working memory, impaired attention, and increased cognitive load.

Tools Used: Python, pandas, numpy, scipy, statsmodels, NASA TLX

Research Phase:Conducted research involving the development of novel data analysis procedures in Python and the use of cognitive tasks to assess working memory capacity (WMC)." .

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Saucy: Personalized Recipe Recommendations with Interactive Machine Learning

Problem: Many individuals struggle to find quick, delicious, and reliable recipes, often wasting time and energy on unsuccessful culinary endeavors.

Tools Used: HTML, CSS, JavaScript, PHP, MySQL, JSON, OpenAI API, Composer, Symfony.

Research Phase: Developed innovative AI-integrated UI/UX, including user research, wireframe creation, and related web development programming.

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