Miyuan X. - Novo Nordisk | LinkedIn (original) (raw)

About

M. S. in Biomedical Engineering.
Product Development | Design Quality Engineering |…

Activity

Experience & Education

View Miyuan’s full experience

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Licenses & Certifications

Courses

BME 501

BME 650

DSO 528

ISE 515

EE 569

BME 511

RSCI 509

ISE 527

MPTX 513

BME 513

Projects

Aug 2017 - Present

•Conduct case study and data mining on multidimensional database using JMP and VBA in Excel
•Analyze Kaggle datasets and perform best-optimized on-line analytical processing using Tableau

Aug 2017 - Present

•Apply Quality Management System frameworks on strategic planning, process management, and performance measurements for operation of manufacturing and product assembly
•Prepare Quality Manual based on ISO 9001:2008
•Carry out Quality Function Deployment, FMEA, PFMEA, V&V, R&R, balanced scorecard
1. Business Plan
2. Drawing and BOM
3. Manufacturing Concept
4. Preliminary Design Review
5. Balanced Scorecard
6. Manufacturing Plan
7. QFD (Level 1)
8. Assembly…
•Apply Quality Management System frameworks on strategic planning, process management, and performance measurements for operation of manufacturing and product assembly
•Prepare Quality Manual based on ISO 9001:2008
•Carry out Quality Function Deployment, FMEA, PFMEA, V&V, R&R, balanced scorecard
1. Business Plan
2. Drawing and BOM
3. Manufacturing Concept
4. Preliminary Design Review
5. Balanced Scorecard
6. Manufacturing Plan
7. QFD (Level 1)
8. Assembly Instructions
9. Validation Test
10. FMEA
11. PFMEA
12. Design Review
13. QFD (Levels 2 to 4)
14. ISO 90001-2008 quality manual

Mar 2017 - Present

• Identified, evaluated and investigated root cause of medical device recalls at Dexcom Inc.
• Corrective Action and Preventive Action of CAPA implementation and verification

Mar 2017 - Present

• Wrote an SOP for a small start-up medical device company that has no experience in manufacturing a device
• Focused on incorporating Quality System Regulation into associated departments within the company

Jan 2017 - Present

• Implemented mean filter, median filter, Gaussian filter for image denoising
• Conducted morphological processing algorithm on appropriate masks to remove imperfections of images
• Extracted features of texture images by using multichannel method and principle component analysis and applied K-means clustering algorithm to classify and segment images

Jan 2017 - Present

•Composed Statement of Work, proposal, cover letter, Work Breakdown Structure Gantt Chart
•Estimated cost baseline, Bill of Materials and conducted Labor Cost and Daily Cost analysis
•Conducted risk management and resolved both internal and external conflicts
•Designed Project Information Flow Chart to implement process improvement within project life cycle

Mar 2017 - May 2017

•Analyzed CIFAR-10 dataset to do CNN image recognition by using TensorFlow, Python, and MATLAB
•Applied K-means clustering algorithm to classify and segment images

Aug 2016 - Dec 2016

• Applied neuromuscular stretch-reflex model to present the dynamic characteristics of human forearm actions in Simulink
• Optimized the parameters and conducted sensitivity analysis of a series R-L-C model for respiratory mechanics of human lung functions
• Investigated muscle activation with linear programming to evaluate result of different motor adaptions

Jan 2016 - Jun 2016

• Designed a cost-effective flow cytometry simulation that can measure spectrum of fluid fluospheres
• Optimized operation conditions for applications of different spectrum range by using OceanView
• Summarized characteristics of isolated fluorescent microspheres in both static and fluid condition

May 2015 - Aug 2015

• Operated a LabVIEW MEMS to minimize nonspecific protein adsorption by 25% for single chip and valve chip
• Optimized operation conditions for applications of single chip and valve chip by performing particle experiments
• Applied AutoCAD to plot flow diagram and schematic diagram under droplet system

Sep 2013 - Aug 2014

• Preprocessed EEG signals and did ICA processing on PSD, PSND
• Deciphered LZC and SampEn of EEG signals to investigate non-linear dynamics in PSD phenomenon
• Elicited K- means clustering, independent-samples Test, Pearson correlation by SPSS to refine data analysis by 50%

Honors & Awards

USC Viterbi School of Engineering

May 2018
Graduate students from the USC Viterbi School of Engineering will be recognized in May at the annual Viterbi Master’s Student Awards. Students from each department were commended for their academic, leadership and service achievements.
https://viterbigrad.usc.edu/news-and-events/graduate-awards/masters-awards-2018/

Languages

Native or bilingual proficiency

Native or bilingual proficiency

Limited working proficiency

Organizations

Member

May 2018 - Present

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