Engineering

Engineering

Materials scientist and engineer. 5+ years across industry and academia, from semiconductor characterization to research automation.

Experience

2025 – now

Graduate Research Assistant

University of Utah, Sparks Group · Salt Lake City, UT

Running a multi-project self-driving-lab program.

  • Lead a team of undergraduate and graduate researchers
  • Manage the group's HPC cluster, databases, workstations, and lab edge devices
  • TA for MSE 5540/6640 Materials Informatics (Spring 2026)
  • Reviewer for Integrating Materials and Manufacturing Innovation (Springer Nature / TMS)
Self-driving labsHPCMentoringTeaching
2022 – 2024

Surface Analysis Engineer

Micron Technology · Boise, ID

Semiconductor surface characterization, made faster with automation and data science.

  • Co-principal investigator on data science projects
  • Developed new characterization methods and automated experiments across teams
  • First employee to complete Micron's global data science training program
SIMSHallHg probeXRDXRRGIDMachine learning
2021

Asset Integrity Engineer (Co-op)

Canadian Natural Resources Ltd · Calgary, AB

Predicted corrosion, erosion, and thermal damage on plant equipment from a decade of operating data.

CorrosionData modeling
2020

Application Engineer (Co-op)

University of Alberta · Edmonton, AB

Materials-failure research and damage-risk modeling for industrial equipment.

Failure analysis

Education

Doctoral

PhD, Materials Science & Engineering

University of Utah · expected Dec 2026

Self-driving labs that reuse knowledge across data sources of uneven fidelity. Advisor: Prof. Taylor D. Sparks.

Graduate

MicroMasters, Principles of Manufacturing

MIT · 2022

Graduate credit toward MIT's Master of Engineering in Advanced Manufacturing & Design: process control, manufacturing systems, supply-chain analytics, engineering management.

Undergraduate

BSc, Materials Engineering

University of Alberta · 2022

Functional and nanomaterials. Capstones in additive-manufacturing powder metallurgy and carbide-reinforced white iron.

Professional

Professional Certificate, Manufacturing & Design

MIT · 2023

Multiscale materials design, AI for design and manufacturing, ML for materials informatics, efficient deep learning.

Skills

Materials informatics & AI

Physics-informed MLSelf-driving labsResearch automationData-driven experimental designKnowledge transfer

Simulation

DFT: Quantum ESPRESSO, VASPMD: LAMMPS, OpenMMForce fields: OpenFF, MLFFkMC: SPPARKS, ZacrosFEA: MOOSE, ANSYS, SimScale, Fusion 360

Computing

Python: pymatgen, scikit-learn, PyTorchC/C++JavaScriptLinuxHPC: Utah CHPC GPU/CPUGCPAWS

Data & infrastructure

SQL, graph & vector databasesGitApache SparkDockerKubernetesJenkins, CI/CD

Characterization

SIMSHallHg probeXRDXRRGID