CV

Ph.D. in Computer Science

• Advisor: Dr. Jacob Biehl

B.Phil. in Computer Science

• GPA: 4.00
• Thesis: Untethered Displays: The Effects of Mixed Reality on Split-Attention in Fine-Motor Tasks

• 2023-2024 Outstanding Undergraduate Student Award for the Department of Computer Science
• NSF GRFP

• Best Capstone Talk Award, Department of Computer Science, University of Pittsburgh
• Chancellor's Undergraduate Teaching Fellowship, Frederick Honors College, University of Pittsburgh
• Dean's List, University of Pittsburgh School of Computing and Information, University of Pittsburgh

Senior Computer Science Research Lead

• Spearheaded the development of interfaces for endovascular surgical displays, aimed at mitigating cognitive load and enhancing surgical performance through mixed reality (MR) technology.
• Authored a proposal submission to the NSF Graduate Researcher Fellowship Program, aiming to explore mixed reality needle guidance for arterial line placement.
• Collaborated with medical professionals to explore novel mixed reality interfaces for annotation in robot-assisted surgery, emphasizing applications for DaVinci surgical robots.

Undergraduate Research Assistant

• Designed and built mixed reality systems software for the Microsoft HoloLens 2 to investigate the effects of different display modalities on user sentiment and task accuracy.
• Initiated and structured a study evaluating the effects of mixed reality on cognitive load and situational awareness in split attention tasks, employing LEGO assembly as a model task.
• Participated in lab group discussions and assisted graduate researchers with reviewing current work.

High School Research Assistant

• Investigated the spatial relationship between tumor cells and fibroblasts in HER2+ breast cancer and its effects on proliferation.
• Wrote software to increase efficiency of AI microscopy image analysis pipeline. Application has now been used to analyze almost 1 million images.
• Studied the trade-off between speed and accuracy in classical versus random forest machine learning-based cellular image segmentation.

STEM Through Games

• 11 students
• Design, pilot, and evaluate a game design and development program that introduces high school students to computational thinking, foundations of programming, and cross-disciplinary academic STEM research through the design and implementation of digital games.
• Teach Unity concepts including GameObjects, C#, and Components.
• Collect data on the efficacy of teaching computational thinking and STEM topics through game design and development.

CS 0449: Introduction to Systems Software

• ~20 students
• Led recitation section teaching elements of C programming, compiling/linking, and multithreading/synchronization.

CS 0441: Discrete Structures for Computer Science

• ~20 students
• Led recitation section by selecting and presenting example problems to students.

CMPINF 0010: Big Ideas in Computing and Information

• 30 - 35 students
• Presented lessons in lab section covering Python programming, basic data science with Pandas, Linux command line, and version control with Git.
• Awarded Chancellor's Undergraduate Teaching Fellowship to restructure lab section curriculum to align with material covered in lecture.

Research and Development Intern

Resident Assistant

• Supervised a group of 8 global students during a 7-week cancer research program, ensuring a safe and enriching living environment.
• Exhibited strong leadership skills, guiding students in navigating the challenges of the program and setting a positive example for the dormitory community.
• Served as a point of contact for students, offering mental health support and encouraging personal growth throughout the program.

Student Mentor

• Devised and taught Python programming curriculum to a cohort of international students.
• Directed student teachers in delivering lessons and building applications.
• Mentored student programmers with computer science projects and technical presentation skills.
• Developed proprietary educational technology to streamline computer science distance learning.

Software Intern

• Assisted in the development of UI (user interface) in Vue.js for company's Stable Value product.
• Reversed engineered C# code and wrote reports on its functionality.

Schedule++

• Won first prize in hackathon
• Technologies used: JavaScript, GraphQL, CORS, AJAX, Web App Manifest
• Developed an open source browser extension to add additional features to University of Pittsburgh's scheduling portal
• Led a team of 3 developers

UB Founders

• Technologies used: React Native, Bootstrap, PHP, MySQL
• Developed a feature-rich mobile application for both iOS and Android to deliver the university's podcast content to donors, enhancing donor engagement and promoting university initiatives.
• Created an intuitive and user-friendly web panel utilizing, enabling seamless uploading and management of new podcast episodes by university staff.
• Collaborated closely with university stakeholders to understand requirements, design specifications, and feedback, resulting in a tailor-made solution that met the university's specific needs and preferences.

• Student Volunteer, ACM Interactive Sufaces and Sensing (ISS)
• Undergraduate Presenter, Zervantonakis Lab, LEAD Program, University of Pittsburgh
• Student Panelist, Early Experiences in Undergraduate Research, School of Computing and Information, University of Pittsburgh

• Student Representative, SCI Academic Council, School of Computing and Information, University of Pittsburgh
• High School Research Presenter, Zervantonakis Lab, LEAD Program, University of Pittsburgh