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Hi there! My name is


Engineering is my passion. Here is a collection of my work.


Throughout my life, I have been fascinated by the technology that runs our everyday lives.  At an early age, I began reassembling computers, cars, and various gadgets to better understand how they worked. This curiosity eventually paved the way for me to pursue a career in engineering. From designing 700+ horsepower race cars, to creating software used by over a thousand engineers, and authoring over 10 peer-reviewed journal publications, here is a collection of my professional and personal experiences. If you're interested in learning more about my career highlights and accomplishments, keep reading or get in touch!

About Me


What I Accomplished in Industry and Research

Senior Member of Technical Staff

Advanced Micro Devices, Inc.

June 2022 - Present


  • Develop automated and machine learning methodologies and tools for high volume semiconductor manufacturing process flow improvement and optimization.

  • Apply data analytics methodologies to drive continued improvements in yield, power/performance, and quality in FPGA products and other advanced process technologies.


Northrop Grumman Space Systems


  • Research in nanophotonics design with machine-learning methods at the NG Next Basic Research Laboratory.

  • 5 first-authored journal publications (2 cover features).

October 2019 - June 2022


University of California, Los Angeles

October 2018 - Present



MSC Software

June 2013 - July 2014


  • Tested and validated MSC's Material Lifecycle Management software, MaterialCenter, to ensure continuous improvement of the product and its quality systems.

  • Achieved over 10% defect reduction, release-after-release, across 3 releases. 

  • Developed and executed over 10 product test plans.


Southwestern Performance Technology

Feb 2012 - July 2013


  • Drafted over 200 engineering blueprints of semi-monocoque chassis, driveline, and suspension components for a limited production of 12 vehicles.

  • Generated triaxial CNC milling programs for linkages, mounts, jigs, fixtures, casting and molding patterns.


What I Accomplished in Academia



PhD, Materials Science and Engineering



  • GPA: 3.71

  • 500+ Citations, h-index: 10.

  • Publications (Authored/Co-Authored):

    1. "Temporal Coupled-Mode Theory for Thermal Emission from Multiple Arbitrarily Coupled Resonators", Physical Review Applied, 2022. (Accepted)

    2. "DeepAdjoint: An All-in-One Photonic Inverse Design Framework Integrating Data-Driven Machine Learning with Optimization Algorithms", ACS Photonics, 2022. DOI: 10.1021/acsphotonics.2c00968 (First Author)

    3. "Autonomous Wearable Sweat Rate Monitoring Based on Digitized Microbubble Detection", Lab on a Chip, 2022. DOI: 10.1039/D2LC00670G

    4. "Enhancing Adjoint Optimization-based Photonics Inverse Design with Explainable Machine Learning", ACS Photonics, 2022. DOI: 10.1021/acsphotonics.1c01636 (Journal Cover; First Author)

    5. "Global Inverse Design across Multiple Photonic Structure Classes Using Generative Deep Learning", Advanced Optical Materials, 2021. DOI: 10.1002/adom.202100548 (Journal Cover; First Author)

    6. "Multiplexed Supercell Metasurface Design and Optimization with Tandem Residual Networks", Nanophotonics, 2021. DOI: 10.1515/nanoph-2020-0549 (First Author) 

    7. "Elucidating the Behavior of Nanophotonic Structures through Explainable Machine Learning Algorithms", ACS Photonics, 2020. DOI: 10.1021/acsphotonics.0c01067 (First Author)

    8. "A programmable epidermal microfluidic valving system for wearable biofluid management and contextual biomarker analysis", Nature Communications, 2020. DOI10.17605/OSF.IO/DQMGC

    9. "An Adhesive and Corrosion-Resistant Biomarker Sensing Film for Biosmart Wearable Consumer Electronics", IEEE/ASME Journal of Microelectromechanical Systems, 2020. DOI10.1109/JMEMS.2020.3012101

    10. "Noninvasive wearable electroactive pharmaceutical monitoring for personalized therapeutics", Proceedings of the National Academy of Sciences of the United States of America, 2020. DOI10.1073/pnas.2009979117

    11. "A wearable freestanding electrochemical sensing system", Science Advances, 2020. DOI: 10.1126/sciadv.aaz0007

    12. "A ferrobotic system for automated microfluidic logistics", Science Robotics, 2020. DOI: 10.1126/scirobotics.aba4411 (Journal Cover)

    13. "A 3D-printed microfluidic-enabled hollow microneedle architecture for transdermal drug delivery", Biomicrofluidics, 2019. DOI: 10.1063/1.5127778 (First Author)

    14. "A Rapid and Low-cost Fabrication and Integration Scheme to Render 3D Microfluidic Architectures for Wearable Biofluid Sampling, Manipulation, and Sensing," Lab on a Chip, 2019. DOI: 10.1039/C9LC00418A

    15. "A Wearable Electrofluidic Actuation System," Lab on a Chip, 2019. DOI: 10.1039/C9LC00454H

  • Publications (Acknowledged):

    1. "A Mediator‐Free Electroenzymatic Sensing Methodology to Mitigate Ionic and Electroactive Interferents' Effects for Reliable Wearable Metabolite and Nutrient Monitoring," Advanced Functional Materials, 2019. ​DOI10.1002/adfm.201908507 (Journal Cover)

    2. "Natural Perspiration Sampling and in Situ Electrochemical Analysis with Hydrogel Micropatches for User-Identifiable and Wireless Chemo/Biosensing," ACS Sensors, 2019. DOI10.1021/acssensors.9b01727 (Journal Cover)

  • Conference​ Poster/Oral Presentations:

    1. "Enhancing Adjoint Optimization-based Photonics Inverse Design with Explainable Machine Learning," SPIE Photonics West, San Francisco, California, January 2022. Recording. Paper(Oral Presentation)

    2. "Conditional Machine Learning-Based Inverse Design Across Multiple Classes of Nanophotonic Structures," CLEO, Los Angeles, California, May 2021. Recording. Paper. (Oral Presentation)

    3. "Elucidating the Physics of Nanophotonic Structures Through Explainable Machine Learning Algorithms," Frontiers in Optics / Laser Science, Los Angeles, California, September 2020. Recording. Paper(Oral Presentation)

    4. "Limits on Thermal Emission from Multiple Coupled Resonators", Frontiers in Optics / Laser Science, Los Angeles, California, September 2020. Paper

    5. "Inverse Design of Nanophotonic Structures with Interpretable Convolutional Neural Networks," Photonics Online Meetup, Los Angeles, California, January 2020. Program. (Oral Presentation)

    6. "Low-Cost and 3D-Printed Hollow Microneedle," MicroTAS, Basel, Switzerland, October 2019.​ Program.

    7. "Rapid and Low-Cost Fabrication and Integration of Microfluidic Architectures," MicroTAS, Basel, Switzerland, October 2019. Program.

    8. "A Fully Integrated Wearable AC Electrothermal Actuation Platform for Biofluid Manipulation," MicroTAS, Basel, Switzerland, October 2019. Program.



MS, Materials Science and Engineering


  • GPA: 3.80

  • Research: Multi-scale Material Modeling with Analytical and Numerical Methods (funded by MSC Software)

  • Project: Process Design for 45 nm 6T-SRAM Device



BS, Mechanical Engineering

BS, Materials Science and Engineering


  • GPA: 3.73

  • Research: Aluminum 5083 Thermally Stabilized by Diamantane Nanoparticles

  • Mechanical Systems Lab Robotics Competition Winner

  • Project: FSAE Human Interface Team Lead

  • Project: Steerable Neurovascular Guidewire


MSC Software

July 2014 - October 2018


  • Managed over 10 releases of the MaterialCenter and Databanks product lines.

  • Resulted in over 200% growth in revenue across 4 years, with 80% software renewal rates.

  • Brought over 1000 users' enterprise materials data management system into production.

  • Hosted and presented in annual webinars with over 200 participants. 

  • Obtained over $50,000 annual cost savings through extended partnership agreements.


What I Do On The Side



What I Applied


In 2014, I bought my first 3D printer for fun and began sharing my projects on social media. In 2017, I decided to take this to the next step and built my first website, CY Printing Studio. CY Printing Studio allows me to provide 3D printing services upon request and lets me share my 3D printed projects with the world. These projects combine CAD design, microcontroller integration, FDM printing techniques, as well as love and dedication to the craft. 


Advanced Proficiency

  • Python Deep Learning

    • TensorFlow

    • PyTorch ​


​Medium Proficiency

  • XML


  • G-Code

Basic Proficiency

  • C/C++

  • JavaScript


  • Convolutional Neural Networks

  • Tandem Networks

  • Generative Adversarial Networks

  • Explainable AI

    • SHAP​


​Advanced Proficiency

  • Eclipse

  • Solidworks

  • Fusion360

  • JIRA

  • SimManager

  • MaterialCenter

  • Perforce

  • Makerware

  • Lumerical FDTD

  • MS Office

  • Camtasia

  • Balsamiq

Medium Proficiency

  • MSC Nastran

  • Patran

  • Siemens NX

  • Selenium

  • SEMulator3D


​Advanced Proficiency

  • CNC Machining (ATEP Certified)

  • FDM 3D Printing 

  • Scannning Electron Microscopy

  • Lithography

  • Metallurgy

Medium Proficiency

  • Circuitry

  • MIG and TIG Welding



  • Pragmatic Marketing Product Management Certified

Elsevier Reviewer Certificate

  • Recognition of Contributions to Materials Letters




What People I Worked With Say

Eddy Sharp

e-Xstream Engineering - Aerospace Business Consultant

​"I have worked with Chris Yeung as both a customer and a colleague, and I he's been one of the most competent, enthusiastic, professional people I've ever had the privilege of working with. I was his customer, when I was a manager at the Boeing Co. and Chris was working with the MSC materials data management team to help us modernize our systems. His dedication to customer service was excellent, and he took the time and effort required to understand our business and our needs."

Hanson Chang

MSC Software - Sr. Lead Application Engineer

"Chris has been instrumental in the development of MSC’s MaterialCenter software. He utilized his background in metallic and composite materials to manage, guide and mature MaterialCenter into a material data management system our customers love. Chris works well with software developers as well as field application engineers like myself. His intelligence and enthusiasm makes him a great product manager and colleague. I highly recommend Chris for any endeavor he chooses to pursue."

Nicole Drake

MSC Software - Marketing Specialist

"While working with Chris he demonstrated his ability to effectively communicate our solutions among our peers and customers. His technical expertise is unparalleled and proved invaluable on the projects we worked on together. I was particularly impressed to see him tackle any challenge head on with poise and confidence, no matter how difficult the situation was. Chris is a team player and would be a valuable asset in any setting.​"

Talha Amir

MSC Software - Product Designer

"I worked as a user experience designer underneath Chris and it is his leadership skills that made it an invaluable experience. As a product manager, Chris excels in not only laying out road maps, but executing on them as well. Because of this vision, he expects high quality. However, whenever obstacles arise, Chris does not panic. Instead, he understands the issues at hand and remains flexible. While I was concerned about making tight deadlines, Chris was steadfast and kept encouraging us in a positive and constructive manner. I am proud to say that Chris is not only my work mentor, but a good friend as well. He knows how to straddle the line between being professional and personable."


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