Maria Maza

Areas Maria Maza is Knowledgeable in:

Techniques Maria Maza Uses:

Maria Maza's Problem Solving Skills:

1. Matlab
2. Microsoft Office
3. Maple
4. Machine Tools
5. CITI Human and Animal Subject Testing Certified
6. Lean Six Sigma Yellowbelt
7. Microcontrollers
8. Designed 6 medical devices
9. Good in teams or individually
10. SolidWorks

Maria Maza's Problem Solving Experience:

1. Designed a device to regularly monitor blood flow through the body using a smart phone and video frequency magnification. Programmed in MATLAB to analyze waveforms of the radial artery and compared results with ECG data.
2. Created a system to track patient elevation and automatically raise and lower a collection bag for proper drainage of fluids. Gyroscopes, accelerometers, infrared sensors, and microcontrollers were used to track patient position, and that data was relayed to a motor to raise and lower the fluid bag.
3. Fabricated a bioreactor that would mimic the human body by providing necessary nutrients and maintaining constant temperature. The bioreactor was then used to hold tissues and biomaterials during mechanical testing.
4. Constructed a mobile sling apparatus that enables a five-year-old SMA patient to elevate her arms for various activities with negligible force due to gravity.
5. Manufactured a cost- effective leg rehabilitation machine for the C.R.I.L.A. recovery clinic in Honduras. Wrote an extensive report analyzing civic need, potential designs, materials, costs, fabrication, testing, reproducibility, and future suggestions for basic engineering improvements in their community.
6. Analyzed a healthcare company's site procedures for compliance with division and FDA standards. Developed solutions to any nonconformances.
7. Designed a method of tracking product change notifications received from suppliers to create metrics for analyzing first-pass acceptance and communicating these to the suppliers to increase efficiency.
8. Designed and fabricated a pulsatile pump that mimics cardiovascular blood flow to run through patient-specific heart models. Surgeons then studied the four-dimensional flow modeling to better prepare for surgery.