Tyler Morris

About Me

Hello! I'm Tyler Morris, a newly emerging biomedical engineer who is passonate about using cutting edge technology to solve healthcare issues. My work primarily involves using AI tools to assist medical professionals in their everyday jobs. I'm currently seeking opportunities in professorships in research.

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Skills

Technical Skills

Python
JavaScript
HTML & CSS
MATLAB
Machine Learning

Research Skills

Research Design
Data Analysis
Scientific Writing
Literature Review
Human-Subject Studies

Projects

RISE

RISE is a system that seeks to assit in the training of informal dementia caregivers. The system uses either a website or social robot as a host platform to foster engagement. It then uses a retrieval augmented generative AI (RAG-AI) system to generate custom sessions. Users can go over any issues they may be having in their caregiving journey through a 3-stage session: 1) Presentation Slides, 2) Q&A Chat, and 3) Review Quiz. The user is then guided through a stress-management activity to learn how to reduce their stress levels in times of need.

MUSE

The Music intervention Using Socially Engaging robotics (MUSE) system seeks to combine the benefits of music intervention with the convience and adaptability of social robotics for persons with dementia (PwD). The social robot, Pepper, guides a group of PwD through a 3-step music intervention session: 1) Keep-with-the-Rythm Game, 2) Sing Along, and 3) Dance Along. MUSE was created to both provide these beneficial sessions to PwD, while also alleviating the burden of their caregivers. Studies with PwD and their cargivers show an overall high level of acceptance for both the social robot and the music intervention session, thus showing promise in its potential acceptance should it be deployed in a larger scaled setting.

GRA/REACH

This project is similar to the RISE system, however it is designed to provide supplemental information to persons at risk of cancer. The different versions refer to different conditions and platforms, with GRA (Genetic Risk Assessment) focusing on colorectal cancer and using a social robot, while REACH focuses on pediatric cancer and uses a tablet app. Both systems use a RAG-AI with a large database to generate a 3-step informational session on the given topic: 1) a Presentation, 2) Q&A, and 3) Review. These systems seek to provide supplemental information to patients in a way that alleviates the burden on the already overworked healthcare professionals.

Achievements & Awards

Volunteer of Distinction Award

Awarded for academic excellence and research potential in AI and healthcare.

NSF Student Travel Award for CHASE 2023 and 2024

Granted for outstanding research and writing of academic literature.

Oak Ridge Innovation Institute Graduate Fellowship

Received for research potential and outstanding research design.

Dean’s List Award

Awarded for academic excellence during undergradute and graduate studies.

Connect With Me

Contact

You can reach me at: tpmorris13@gmail.com