Edward Lau

Associate Professor

Aurora, Colorado, United States
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Summary

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Edward Lau is an Associate Professor at the University of Colorado School of Medicine who studies the spatial and temporal dynamics of proteins in stem cells and cardiomyocytes, leveraging stable isotope labeling mass spectrometry and spatial proteomics. With 11 years of experience spanning UCLA, Stanford, and CU Anschutz, he combines wet-lab cellular physiology—secretome signaling, senescence signatures, cardiotoxicity—with computational approaches linking transcripts to proteins and machine learning–based protein prediction. His lab develops quantitative methods to measure protein half-lives and map subcellular protein distributions, enabling insights into proteostasis in iPSC models. Edward routinely bridges disciplines, mentoring across Pharmacology, Integrated Physiology, and Cell Biology graduate programs while maintaining an active online presence (lab website, ORCID, Mastodon/Twitter). Not obvious from titles alone: he pairs deep mass-spec method development with practical bioinformatic pipelines to resolve where and when proteins act in complex cellular systems.
code11 years of coding experience
job11 years of employment as a software developer
bookBachelor of Arts (B.A.), Molecular Biology, Bachelor of Arts (B.A.), Molecular Biology at University of California, Berkeley
bookDoctor of Philosophy (Ph.D.), Physiology, Doctor of Philosophy (Ph.D.), Physiology at University of California, Los Angeles
languagesEnglish
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Stackoverflow

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Github Skills (21)

summernote6
ggplot6
django6
integrate6
r6
django-project5
bibtex4
data-wrangling4
wysiwyg4
knitr4
stable4
science4
python3
data-visualization3
open-access3

Programming languages (4)

RCSSJupyter NotebookPython

Github contributions (5)

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Lau-Lab/pytmt

Mar 2018 - Jan 2023

Contributions:4 releases, 71 commits, 74 pushes in 4 years 10 months
Lau-Lab/CPTAC_Protein

Mar 2022 - Mar 2024

Prediction of protein levels from RNA
Contributions:1 review, 1 PR, 7 pushes in 1 year 11 months
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Edward Lau - Associate Professor