Cait Harrigan, MSc.

Cait Harrigan, MSc.

cait.harrigan@mail.utoronto.ca | View this CV online at caitharrigan.ca/cv

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I am a graduate student at the University of Toronto supervised by Quaid Morris and Kieran Campbell, and a graduate researcher at the Vector Institute. I did my undergraduate studies at the University of Toronto, in Computational Biology and Statistics. My thesis work pertains to cancer genomics, and modelling the evolutionary constraints that underlie how mutation events occur in DNA. I’m passionate about open science, and promoting great mentorship in the sciences.

Memberships & Affiliations

Doctoral Fellow Data Science Institute, University of Toronto Jul 2022 — present

Graduate Researcher Ontario Institute for Cancer Research May 2020 — present

Graduate Researcher Vector Institute, Toronto, Canada Sep 2019 — present

Education

PhD in Computer Science University of Toronto Jan 2021 — present

MSc in Computer Science University of Toronto Sep 2019 — Mar 2021

Honours BSc. Awarded with distinction University of Toronto Sep 2015 — Jun 2019

Work experience

Visiting Graduate Researcher May 2021 — Sep 2021

Memorial Sloan Kettering Cancer Center

Undergraduate Research Assistant Sep 2018 — May 2019

Terrence Donnelly Centre for Cellular and Biomolecular Genetics

Undergraduate Research Assistant May 2017 — Sep 2017

SickKids The Hospital for Sick Children

Intern Eviviz Vancouver May 2016 — Sep 2016

Publications

  1. Agata A. Bielska, Caitlin F. Harrigan, Yeon Ju Kyung, Quaid Morris, Wilhelm Palm, and Craig B. Thompson. “Activating mTOR mutations are detrimental in nutrient-poor conditions”. Eng. In: Cancer Research (Jul. 2022).
  2. Caitlin Timmons, Quaid Morris, and Caitlin F Harrigan. “Regional Mutational Signature Activities in Cancer Genomes”. In: bioRxiv [preprint] (Jan. 2022).
  3. Caitlin F Harrigan, Gabriella Morgenshtern, Anna Goldenberg, and Fanny Chevalier. “Considerations for Visualizing Uncertainty in Clinical Machine Learning Models”. Workshop: Realizing AI in Healthcare: Challenges Appearing in the Wild, CHI 2021 Online Virtual Conference (originally Yokohama, Japan), May. 2021.
  4. Caitlin F Harrigan, Yulia Rubanova, Quaid Morris, and Alina Selega. “TrackSigFreq : subclonal reconstructions based on mutation signatures and allele frequencies”. In: Pacific Symposium on Biocomputing 25 (2020), pp. 238-249.
  5. Yulia Rubanova, Ruian Shi, Caitlin F Harrigan, Roujia Li, Jeff Wintersinger, Nil Sahin, Amit Deshwar, and Quaid Morris. “Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig”. In: Nature Communications 11.1 (Feb. 2020), pp. 1-12.

Talks & Posters

Dirichlet Allocation of Mutations Captures the Action of DNA Damage and Misrepair Processes Jul 2022

Intelligent Systems for Molecular Biology 2022

Poster

DAMUTA: Dirichlet allocation of mutations as a function of both damage and DNA repair Nov 2021

Cold Spring Harbour Laboratory Meeting: Genome Informatics

Oral Presentation

Tandem Signatures of DNA Damage and Misrepair in Cancer Apr 2021

Computing Research Association’s Grad Cohort for Women

Poster

Undergraduate research opportunities: how to find them and make them work for you Feb 2020

Invited by the Bioinformatics and Computational Biology Student Union, University of Toronto

Talk

TrackSigFreq: subclonal reconstructions based on mutation signatures and allele frequencies Jan 2020

Pacific Symposium on Biocomputing (PSB) 2020

Oral Presentation, Poster

How to hack your degree May 2019

Invited by the Computer Science Student Union, University of Toronto

Talk

Grants & Awards

NSERC Postgraduate Scholarship - Doctoral Sep 2022 — present

Doctoral Student Fellowship Award Sep 2022 — present

Queen Elizabeth II Graduate Scholarship in Science & Technology Jul 2022

Ontario Graduate Scholarship Sep 2021 — Sep 2022

ACM SIGHPC Computational & Data Science Fellowship Jul 2020 — Jul 2022

JXTX foundation Genome Informatics Scholarship Aug 2021

General Motors Women in Science and Mathematics Award Sep 2020

NIH Conference Travel Fellowship Nov 2019

The Audrey Taylor Award Jul 2017

Service

Program committee member Nov 2019

Machine Learning in Computational Biology (MLCB) 2019

Program committee member Oct 2019

Pacific Symposium on Biocomputing (PSB) 2020

Teaching

Unless otherwise noted, school is University of Toronto

JSC370: Data Science II Jan 2022 — May 2022

PRISM: Preparation for Research through Immersion, Skills, and Mentorship Jan 2022 — May 2022

Department of Computer Science, University of Toronto

CSC197: What, Who, How: Privacy in the Age of Big Data Collection Sep 2021 — Dec 2021

STA4273: Minimizing Expectations Jan 2021 — May 2021

CSC197: What, Who, How: Privacy in the Age of Big Data Collection Sep 2020 — Dec 2020

JSC270: Data Science I Jan 2020 — May 2020

Curriculum design and workshop series facilitator: “Environmental & Life Sciences” Jan 2020

STEMHub Foundation

Curriculum design and workshop facilitator: “R for bioinformatics” Jan 2020

Global Society for Genetics and Genome Biology

CSC373: Algorithm Design, Analysis & Complexity Sep 2019 — Dec 2019

Mentorship

Mentor ProjectX machine learning research competition Sep 2020 — present

Mentor Statistical Science Alumni Mentorship Oct 2021 — May 2022

Mentor Her Code Camp, Toronto Aug 2020 — Aug 2021

Mentor Oct 2018 — May 2019

Mentorship Program, Department of Statistics, University of Toronto

Mentor Sep 2016 — May 2019

SPROUT Peer Mentorship Program, New College, University of Toronto

Event Organization

Organizer Sep 2021 — present

Graduate Application Assistance Program, Department of Computer Science, University of Toronto

Event chair and host: program information session Jun 2017 — Jun 2019

Bioinformatics and Computational Biology Student Union, University of Toronto

Event chair: BioHacks Mar 2018

Bioinformatics and Computational Biology Hackathon

Volunteering

Project Manager STEMHub Foundation Oct 2020 — May 2021

Founder and treasurer May 2018 — May 2019

Bioinformatics and Computational Biology Student Union, University of Toronto