cv

Basics

Name Linda Jin
Label Astrophysics ML researcher
Email lindajin@uw.edu
Url https://klinjin.github.io/

Education

  • 2025.09 - now

    Seattle, WA

    Ph.D.
    University of Washington
    Physics
    • Teaching Assistant for Physics Advanced Laboratory: Computational Data Analysis (2025 Fall)
  • 2020.08 - 2023.12

    Santa Barbara, CA

    B.S.
    University of California, Santa Barbara
    Physics
    • High Honors
    • Worster research fellowship 2023
    • Dean's Honor

Experience

  • 2026.01 - now
    PhD research assistant
    DiRAC Institute, UW
    Building robust algorithms for inferencing dark energy evolution from LSST and Rubin data
    • Normalizing flows
    • Uncertainty quantification
    • Clustering
    • Lyman-breaking galaxies
    • photometric redshift
  • 2024.09 - 2025.08
    Post-bac researcher
    The Berkeley Center for Cosmology Physics, UC Berkeley
    Developing generative model for baryonification of dark matter field for weak lensing inference.
    • Weak lensing
    • hydrodynamical simulations
    • CNN
    • Conditional diffusion model
    • Simulation-based inference
  • 2022.04 - 2024.09
    Undergraduate research assistant
    ENIGMA Group, UCSB
    Extracting the thermal history of the intergalactic medium during post-reionization from Lyman-α forest autocorrelation function.
    • Intergalactic medium
    • Reionization
    • emulator
    • NN
    • Bayesian inference
    • Error propagation

Extracurriculum

  • 2022.10 - 2023.04

    Santa Barbara, CA

    VP of Finance
    The Women’s Network
  • 2022.03 - 2023.06

    Santa Barbara, CA

    Academic Advisor
    College of Letters & Science Academic Advising
  • 2020.08 - 2022.02

    Santa Barbara, CA

    VP of Events
    Chinese Students and Scholars Association

Publications

Skills

Physics
Gravitation and Relativity
Thermal and Statistical Physics
Quantum Mechanics
Electromagnetism
Advanced Experimental Physics
Analog Electronics
Graduate-level courses
Cosmology
Stellar Evolution
Statistics, Data Analysis, and Machine Learning for Physicis
Data Science
Python, MATLAB, Fortran
JAX
Pytorch
Tensorflow
Optuna
GitHub
PyCharm, VScode
Z Shell
Conda, Jupyter
Supercomputer operation
Office
Latex
Graphic design
Business email
Video editing
Proposal writing
Presentation
Event Execution

Languages

Chinese
Native speaker
English
Fluent

References

Professor Joe Hennawi
UC Santa Barbara, Leiden University
Professor Uros Seljak
UC Berkeley, Lawrence Berkeley National Laboratory
Professor Lars Bildsten
UC Santa Barbara, Kavli Institute for Theoretical Physics
Professor Tengiz Bibilashvili
UC Santa Barbara
Professor Teja Nerella
UC Santa Barbara