Patrick Truong

PhD student | Statistical biotechnology

[Patrick Truong @patrickqtruong]

Join the Murrell lab @KI and apply #deeplearning and #bayesianstats to #computationalphylogenetics or #proteindesign. We use #LLMs, #normalisingflows, #diffusionmodels, and more. Math and CS backgrounds welcome. Contact us for exciting research opportunities!

[Patrick Truong @patrickqtruong]

This event is guaranteed to tickle your mass-spec nerve and get you going with your very own research in methods development in mass-spec proteomics.

Thesis: urn:nbn:se:kth:diva-327122

Date: 13/6/2023
Time: 14.00 CET
Place: Air & Fire, SciLifeLab

Zoom: https://t.co/qDB3mHEu9V

[Patrick Truong @patrickqtruong]

Exciting news! Our research shows that Triqler is compatible with DIA data. It outperforms state-of-the-art protein summarization tools for obtaining differentially abundant proteins. Check it out! #proteomics #DIA #BayesianModeling https://t.co/tC6T3ZkaWI

[Karolinska Institutet @karolinskainst]

A method presented in @nchembio by KI researchers @leoisabelle and Rozbeh Jafari at @lehtiolab and colleagues at @embl identifies new protein variants, proteoforms, that can increase our understanding of #disease biology and drug response. #proteomics https://t.co/h4LTi2CdHP

[Patrick Truong @patrickqtruong]

Join in if you are curious about my research.
Tomorrow, Friday 2022-04-29 at 10:00 am (GMT+2).
Join Zoom Meeting
https://t.co/puNlipCyr7
Meeting ID: 655 1731 0568

[Patrick Truong @patrickqtruong]

Working with a #conda environment with both #R and #python installed on it for data analysis can sometimes cause horrible package dependency issues. #mamba by @QuantStack has saved me quite some time installing and uninstalling packages. https://t.co/ry3OWCAbjS

#phd #datascience

[Patrick Truong @patrickqtruong]

Making reproducible data workflows...

https://t.co/Di7iOvd5dT

Is way better than the snakemake docs.

#snakemake #python #DataAnalytics #DataScience #DataEngineering #workflow #bioinformatics #datapipeline