This message, related to the development of the theme, only displays on the localhost homepage to notify you of any important theme changes.


Version 1.1.0 - May 18, 2020

With this version, the theme has fully implemented static search using lunr.js. That being said, a few modifications were necessary to implement this feature.

To utilize this, or future version of Hugo Future Imperfect Slim, please make the following changes:

  1. Add the following to your config.toml before [params]:
...
disableLanguages = [""]

[outputs]
    home = ["html", "json"]

[params]
...
  1. Remove the underscore from all about and contact page file names: _index.md --> index.md

  2. Add layout = "about" or layout = "contact" to all of the files you just just adjusted the file names for.

While I realize this is inconvenient, I hope that it is worth it to you in the long run. Thanks for using the theme, and feel free to submit issues as needed.

Hugo Future Imperfect Slim

Gillian Chu

gillian.chu@princeton.edu

Updates…

(2024 Nov) I presented LAML at Cold Spring Harbor Laboratory, at the Biological Data Science 2024 meeting, in the Machine Learning session. Also, I’m now a PhD candidate!

(2024 May) LAML was presented at RECOMB 2024, held at MIT this year.

(2024 Apr) I am grateful to have won Best Poster Runner-up at NCI SSACB.

(2024 Mar) Our paper titled “Maximum Likelihood Inference of Time-scaled Cell Lineage Trees with Mixed-type Missing Data” is on biorxiv here and was accepted to RECOMB 2024. We will also present this as a lightning talk and in poster form at the NCI Spring School on Algorithmic Cancer Biology.

(2023 Apr) I am grateful to receive the William G. Bowen Merit Fellowship from Princeton!

(2022 Aug) I’ve moved to Princeton University to do my PhD in Computer Science! Excited to start this next chapter!

(2022 May) I gave a talk on CNAViz at RECOMB-CCB in San Diego. (pdf). I was also fortunate to win the RECOMB-CCB Scientific Communications lightning talk session in the early graduate section. (pptx).

About

Hi, I'm Gillian. I'm a PhD student in Computer Science at Princeton University, specializing in computational biology. Right now, I'm thinking about graph theory, algorithm design, probabilistic models and evolution.