Dave Tailor
B.S Biomedical Engineering With Specialization in Neural Engineering
M.S Biomedical Engineering With Thesis
B.S Biomedical Engineering With Specialization in Neural Engineering
M.S Biomedical Engineering With Thesis
Engineering student currently attaining bachelor's and master's of science in biomedical engineering from the Illinois Institute of Technology. In my free time, I enjoy working on a wide range of interdisciplinary projects from my 2 years on a student-led racing team, designing a custom flight recording system for small foam-core aerial vehicles, and working on various research projects in my medical imaging laboratory. I am always looking for opportunities to learn new skills and work on an interdisciplinary project to further my skills as an engineer.
https://visualsonline.cancer.gov/details.cfm?imageid=2416
Part of the Illinois Tech Magnetic Resonance Technology Discovery Laboratory, contributing to advancing MRI research across various applications. Research Advisor: Dr. Keigo Kawaji Ph.D Associate Professor in BME at IIT
Current work includes:
Master’s thesis (in progress): Accelerating MRI reconstruction via temporal dimensionality reduction while preserving physiological accuracy.
Master’s thesis (in progress): Developing physiologically accurate signal models for quantitative psychological measurement from imaging and time-series data.
Performed medical instrumentation research, including time-series power analysis, resulting in 3 published abstracts (2 as first author).
Segmented 200+ bladder MRI scans, contributing to 2 peer-reviewed abstracts and downstream model training.
Established and enforced data handling and training protocols, and trained lab members to ensure reproducible, compliant research workflows.
Currently designing a machine learning model to extract hidden information from nonuniformly sampled data, extracting hidden features.
CAD render of the accelerator pedal box assembly, featuring a spring at the back with a 40lb force to allow the driver to feel the throttle position during high-adrenaline driving scenarios, and designed to accommodate drivers ranging from 5' to 6'2" in height
Completed brake pedal assembly mounted in the car, featuring an off-the-shelf brake pedal to reduce costs while allowing for a greater range of motion through the use of a slider. This design accommodates drivers ranging from 5' to 6'2" in height
SolidWorks FEA was used to verify the in-design version of the accelerator pedal assembly, ensuring it could withstand a breaking force of 2000N under high-intensity driving conditions
Previous year race car IIT FSAE
Worked on assembling the front wing, not attached to the car in this image
Designed and built a compact study timer integrated with a wrist-mounted Photoplethysmography (PPG) sensor for real-time heart rate monitoring. The device, powered by an Arduino microcontroller, features an OLED display for intuitive feedback and an LED alert system to notify users of elapsed time and significant heart rate variations. The heart rate monitoring system categorizes different intensity levels, providing insights into physiological responses during study sessions.
Goal: design a lightweight and power-efficient flight recorder to allow for post-flight analysis of a sub-500-gram foam-core aircraft.
Graph of pre- and post-filtered heart rate data collected from an Arduino microcontroller, processed in Python using Pyfirmata, SciPy, and signal-processing libraries to reduce noise through a moving average filter and frequency removal