Research Interests

Physical metallurgist and Transmission Electron Microscopist (TEM) with specialization in advanced characterization techniques and analysis, including

• 4D-STEM strain mapping and automated crystallographic orientation mapping (ACOM)
• in-situ TEM nanomechnical testing
• computational electron microscopy
  • multislice electron microscopy simulations
  • contributing to open source electron microscopy python packages (py4DSTEM)
  • custom TEM-EDS quantification
• advanced image and data analysis
  • custom computer vision (CV) algorithms for high-throughput analysis
  • integration of ML into acquisition and analysis workflows along with conventional CV

Career Path
4 years at Intel Corp. as a Physical Failure R&D Analyst. Received an Innovator Award (2018) and awarded two invention disclosures on 3DXP technology.
3 years at LLNL as a staff scientist in the metallurgy and advanced microscopy group, LLNL

Subject Matter Expertise: Uranium and Titanium alloys, Transmission Electron Microscopy; advanced data analysis and code development utilizing computer vision in MATLAB/python.

 

Ph.D. Materials Science and Engineering, University of California at Berkeley, 2015

M.S .Materials Science and Engineering, University of California at Berkeley, 2012

B.S. Materials Science and Engineering, Stanford University, 2008

Multiscale analysis of nanoindentation-induced defect structures in gum metal

HAADF imaging of the omega (ω) phase in a gum metal-related alloy

Phonons and phase stability in Ti-V approximants to gum metal

For a full list, see: Google Scholar | ResearchGate | ORCID

WPD Award, LLNL (2023) Outstanding Reviewer Award, Acta Materialia (2018)