Curriculum Vitae

Cedric Lim — PhD candidate, MS&E

Stanford University · advised in tomographic imaging & deep learning. Last updated April 2026.

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Education
2022 — present
Ph.D., Materials Science & Engineering
Stanford University · advised on tomography & ML
2018 — 2022
B.S., Materials Science (with honors)
UC Berkeley · departmental citation
Experience
Summer 2025
Research intern, Tomography group
ETH Zürich
2021 — 2022
Undergraduate researcher
LBNL Molecular Foundry
Summer 2020
ML engineer intern
Materials startup (stealth)
Publications
Nature Computational Science2025 · Under review
Physics-informed neural networks for sparse-view atom probe tomography reconstruction
C. Lim, et al.
npj Computational Materials2024 · Published
Diffusion priors for inverse problems in 4D scanning transmission electron microscopy
C. Lim, M. Chen, S. Park
Microscopy & Microanalysis2024 · Published
AtomVis: interactive visualization of large-scale atom probe data on the web
C. Lim, et al.
Ultramicroscopy2023 · Published
Self-supervised denoising for low-dose electron tomography
C. Lim, J. Wang
Awards & Fellowships
2024
NSF Graduate Research Fellowship
2023
Stanford Graduate Fellowship
2022
Berkeley Materials Science Departmental Citation
Teaching & Service
Spring 2025
TA — MATSCI 199: Computational Materials
Stanford University
2024 —
Reviewer
Ultramicroscopy · npj Computational Materials
Skills
Languages
Python, Rust, Go, JavaScript, MATLAB, CUDA C++
ML
PyTorch, JAX, Diffusers, Lightning, MLflow
Imaging
Atom probe tomography, 4D-STEM, electron tomography, ASTRA, IMOD
Infra
Slurm, Docker, GitHub Actions, AWS