St Paul, Minnesota, United States
I am a graduate of LUC's Engineering Science Class of 2020, and received the Attoh-Prasse award as the graduating senior with the highest GPA (3.91). I aspire to develop new and innovative products in the medical device industry. I earned a B.S. in Engineering Science with a biomedical engineering specialization, completed a minor in Computer Science, and graduated with summa cum laude honors. I applied FDA design control to a year-long capstone design project sponsored by AbbVie: an automated infusion pump testbed for evaluating AAMI requirements. I also developed code for software engineering projects using a wide array topics, including data structures and algorithms and full stack development for mobile devices. In my work as an undergraduate researcher, as an engineering intern at AbbVie, and through my capstone design project, I have demonstrated my knowledge and skills in data acquisition, patient monitoring, control, digital signal processing, and medical device testing. I hope to apply and expand these skills in in the medical device industry.
• TA for 4 Classes/Semesters: ENGR 341L - Medical Device Lab, ENGR 311 - Linear Systems, ENGR 312 - Numerical Methods & Control Systems, ENGR 101 - Intro to Engineering Design. • Peer-to-Peer Facilitation: Led hour-long sessions three times a week through facilitated learning activities which aim to reinforce students’ understanding of specific course material.
• Group & Private Instruction: Taught the American Red Cross Learn-To-Swim program and private lessons with specific plans tailored to swimmers of all ages and skill levels. • Customer Service: Effectively employed positive instructor-to-patron communication and practices to retain student enrollment.
• Digital Signal Processing: Designed LabVIEW software to simplify and analyze blink EMG signals for the patient monitoring of drowsy drivers using baseline correction, peak detection, and Haar wavelet transform methods. • Data Acquisition: Constructed driving simulation lab Biopac amplifier hardware and AcqKnowledge software needed for data acquisition of patient physiological signals including EEG, EMG, and EOG.
• Lab Automation: Utilized LabVIEW to develop user-friendly software to achieve automation for combination product device testing (AAMI/ANSI/IEC 60601-2-24) through development of instrument drivers and data acquisition. • Image Processing: Explored the feasibility of the Optical Character Recognition and Pattern Matching image processing methods to improve the efficiency of combination product device testing.