Andy Choi
************@*****.*** (***) - *** - **01 Chino Hills, CA
EDUCATION
MS Biomedical Engineering Sept 2017 - Sept
2019
University of California, Irvine, Irvine, CA
BS Biomedical Engineering Sept 2013 - Jun
2017
University of California, Riverside, Riverside, CA EXPERIENCE
Graduate Researcher Sept 2018 - Sept
2019
UCI F-OCT Lab, Irvine, CA
• Responsible for the use and maintenance of the 3D printers that were used to create experimental imaging equipment.
• Calibrating and maintenance of sensitive optical systems used for 3D in vivo image taking.
• Writing and assisting others not familiar with the imaging systems for collaborations with other research labs. Undergraduate Researcher Mar 2016 - Jun 2017
UCR NOIR Lab, Riverside, CA
• Setup and maintenance of laser based imaging system with an ultrasound transducer to record the mechanical properties of different tissues.
• Record the data of different experiments and organize them into digestible formats. Employee March 2020 - Present
Raku Teriyaki and Sushi Rolls
• Currently working wherever possible to help keep the family business stable during COVID 19. SKILLS
Programs SolidWorks, ANSYS, MATLAB, R Statistical Computing, Microsoft Office Suite, 3D printing (FDM and SLA)
PROJECTS
Assessment of toxin-induced airway injury and therapeutic effects in a rat model by optical coherence tomography ANSYS, MATLAB, Probe Based OCT, R Statistics https://bit.ly/2RmZ9dS Use of Computational Fluid Dynamics to quantify the healing effect of Nitro Oleic Acid on Methyl Isocyanate exposed rats. Optical Coherence Tomography was used to get images to create a volume which was then put into ANSYS to simulate air flow. The air resistance across the rat's trachea was calculated using the simulation data and the effectiveness of the treatment was able to be quantitively proven.
Virtual Vaginal Biopsy using Optical Coherence Tomography SolidWorks, Formlabs Form 2, MATLAB Designing and 3D printing probe to allow volumetric imaging of the vagina with use of OCT. Tissue layers were then quantified with dynamic programming to determine layer thickness. Probe had to be easy to produce and created from cheap materials due to their one time use nature per patient. Probe design was constantly iterated on in order to achieve highest image quality and ease of manufacturing.