Caitlin Simopoulos

Caitlin Simopoulos

PhD, Sr. Computational Biologist

Roche Canada

Hi!

I’m Caitlin Simopoulos, a Sr. Computational Biologist and Data Scientist currently working for Roche with scientists at Genentech. My current research focuses on airway regeneration through single cell RNA sequencing.

I’m also extremely passionate about science communication and outreach. I love volunteering as a mentor promoting gender equality in STEM fields and promoting science literacy through open conversations and classroom visits.

When I’m not sciencing, you’ll find me riding my bike, practicing yoga, snuggling with my cats, or taking my giant Bernese Mountain Dog for a hike!

Click here to download my CV.

Interests

  • Various -omics technologies
  • Machine learning
  • Single cell analysis
  • Microbiomes
  • Science communication

Education

  • PhD in Computational Biology, 2019

    McMaster University

  • Masters of Bioinformatics (MBinf), 2014

    University of Guelph

  • BSc in Molecular Biology and Genetics, 2012

    University of Guelph

Software

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MetaProClust-MS1

MetaProClust-MS1

A tool for clustering metaprotemes using rapid MS1 profiling

CREMA

CREMA

Classifying RNA by Ensemble Machine learning Algorithm.

pepFunk

pepFunk

Functional enrichment of metaproteomic data.

Recent Publications

(2022). MetaProClust-MS1: A tool for clustering metaproteomes using rapid MS1 profiling. mSystems.

PDF DOI

(2020). pepFunk: a tool for peptide-centric functional analysis of metaproteomic human gut microbiome studies. Bioinformatics.

PDF DOI

(2020). Coding and long non-coding RNAs provide evidence of distinct transcriptional reprogramming for two ecotypes of the extremophile plant Eutrema salsugineum undergoing water deficit stress. BMC Genomics.

PDF DOI

(2019). Molecular traits of long non-protein coding RNAs from diverse plant species show little evidence of phylogenetic relationships. G3: Genes, Genomes, Genetics.

PDF DOI