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irisdyoung/README.md

Work

I use my degree in chemistry to write software to do math that models the physics of experiments that we're running to learn about biology.

I have until recently been a computational scientist at Lawrence Berkeley National Laboratory in the field of macromolecular X-ray crystallography, specifically at X-ray free electron lasers (XFELs). Over the last decade my research projects have focused on computational methods development for serial crystallography and cryoEM, investigating the mechanism of oxygenic photosynthesis through pump-probe XFEL experiments, density modification in XRD/EM maps, ML-aided feature discovery in XRD/EM maps, and investigating the functional roles and mechanisms of posttranscriptional modifications on ribosomes. I enjoy projects at the interfaces of multiple fields.

From October 2024, I will be working with Andrea Thorn at HARBOR (Hamburg, Germany) and in January 2025 I will transition to a project under Arwen Pearson.

For fellow structural biologists:

I work on crystallography data reduction software for the steps between photons hitting the detector and a merged set of structure factors. I also support XFEL experiments, both on site and remotely, and assist in post-experiment data processing as needed. My PhD focused on using simultaneous XFEL crystallography and XES spectroscopy to probe the water splitting reaction in oxygenic photosynthesis. I did a postdoc in computational methods development for cryoEM, and I'm now back to XFEL crystallography but still in methods development.

For fellow software developers:

All my work is open source and mostly under the cctbx project (see cctbx_project/xfel/ui for some of my contributions). The cctbx project is mostly python with a bunch of C++ under the hood (including some low-level stuff redundant with scipy and numpy because those weren't around yet!), plus a user-facing wxPython GUI. More recently we've done a ton of work with GPU acceleration (using Kokkos, to support NVIDIA, Intel and AMD architectures) and scaling up at supercomputing centers at national labs in anticipation of next-gen experimental capabilities. I derive too much joy from writing bash-sed-awk monstrosities on the occasions we need them to fix an urgent problem during an experiment, and I guess I'm most proud of the fact that I somewhat understand git.

Hobbies

  • Coffee
    • Espresso
    • Exploring other ways of making coffee
    • TODO: Roasting
  • Languages
    • Japanese
    • Spanish
    • Italian
    • ASL (a little)
    • Dutch (a little)
    • TODO: German
  • Making and fixing stuff
    • Electronics
    • 3D printing
    • Sewing
    • Repairs and DIY
    • Pottery
  • Outside
    • Bike commuting
    • Public transit
    • Walking
  • Other
    • Aikido
    • Reading
    • Patterns and symmetry
    • Neuro[philosophy|biology|science]

Pinned Loading

  1. cctbx/cctbx_project cctbx/cctbx_project Public

    Computational Crystallography Toolbox

    Python 229 119

  2. dermen/sim_erice dermen/sim_erice Public

    Python 1 1

  3. fraser-lab/qptm fraser-lab/qptm Public

    quantification of posttranscriptional modifications

    Python 4

  4. fraser-lab/curiosity fraser-lab/curiosity Public

    cctbx-based tool for discovery of interesting features in electron density or electrostatic potential maps

    Python 1

  5. raspipico raspipico Public

    Simple timekeeping and mqtt functionality for a Raspberry Pi Pico with wireless and LEDs

    Python 2

  6. irisdyoung.github.io irisdyoung.github.io Public

    Iris' homepage

    HTML 1