CV
Summary
Experienced system design engineer in high-precision metrology for process control and defect inspection. Expert knowledge in electron microscopy and high-throughput image analysis for defect/feature extraction. Passionate about coupling physics-based simulation to characterize and understand material properties. Familiar with design for manufacturing, measurement system analysis, root cause analysis, and project management. Self-motivated problem solver with excellent communication skills.
Education
- Ph.D., M.S. in Materials Science and Engineering, UC San Diego, 2019
- B.Eng. in Materials Science and Engineering, Imperial College London, 2015
Work experience
- Sept. 2022-now: Sr. Metrology Systems Engineer
- Tesla, Fremont, CA
- 4680 Cell Engineering
- Nov. 2021-Sept. 2022: Scientist
- Eurofins: EAG Laboratory
- Advanced Imaging Group
- August 2021-Nov. 2021: Postdoctoral Scholar
- August 2019-July 2021: Research Associate
- Carnegie Mellon University
- Supervisor: Professor Marc De Graef
- Funding source: ONR (VBFF)
- Oct. 2015-June 2019: Graduate Student Researcher
- UC San Diego
- Supervisor: Professor Kenneth Vecchio
- Funding sources: UCSD Fellowship/GSR/TA/DOE
- Oct 2014-July 2015: Undergraduate Researcher
- Imperial College London
- Supervisor: Professor Ben Britton
- July 1st 2014-Sept 22nd 2014: Research Internship
- Max-Planck-Institute for Iron Research GmbH
- Supervisor: Professor Cem Tasan (now at MIT)
- Funding source: DAAD RISE scholarship
- Final Presentation: Download
Skills
- System Design:
- Optical system
- Vacuum system
- Vibration analysis
- System block diagram, DFMEA
- Reliabilty Engineering:
- PFMEA
- Weibull analysis
- Accelerating life testing
- Life stress models
- Materials Characterization:
- OLM/SEM/TEM/FIB
- EBSD/EDS/XRD/ECCI
- FTIR/UV-vis/Raman/XPS/XRF
- IR imaging
- Mechanical Testing:
- Vickers hardness/ Nanoindentation
- Tensile test/In-situ tensile test
- Fracture toughness test
- Digital image correlation
- Programming:
- Matlab/Python/Fortran/SQL
- Git, CMake, VScode, Anaconda, LaTex, scikit-learn, TensorFlow, Jupyter Notebook
- OS: MacOS/win/Linux
- Scientific software:
- Abaqus
- LAMMPS
- Mathematica
- COMSOL
- DAMASK (Crystal Plasticity Modeling)
- Zemax
- Other software:
- MS Office (Word, ppt, Excel)
- Adobe (PS, Lightroom, Illustrator)
- Grafana, InfluxDB
Awards
- 2022 TMS - AIME CHAMPION H. MATHEWSON AWARD
- Dissertation Year Fellowship
- EBSD 2018 Travel Grant / GSR Travel Grant
- Acta Student Award 2018 Finalist
- Charles Salter Prize
- DAAD RISE scholarship
- Engineering Dean’s List (2012-2015)
- Winner of Imperial College Festive Photo Competition
Talks
March 01, 2017
Talk at TMS2017, San Diego, California
March 01, 2017
Talk at TMS2017, San Diego, California
March 01, 2019
Talk at TMS2019, San Antonio, Texas
March 01, 2020
Talk at TMS2020, San Diego, California
November 02, 2020
Talk at MST2020, Pittsburgh, PA
November 02, 2020
Talk at MST2020, Pittsburgh, PA
November 02, 2020
Talk at MST2020, Pittsburgh, PA
March 15, 2021
Talk at TMS2021, Virtual
Teaching