Hello, my name is Emily 👩🏻‍🔬

Ph.D. student in computational biology, University of Toronto, Canada

🌻 About

🌻 About

Nice to meet you! I'm a Ph.D. student in the Molecular Genetics program (Computational Biology track) at the University of Toronto. My sights were set on pursuing this degree after really enoying my M.Sc. experience, focused on research in bioinformatics for mass spectrometry-based proteomics, protein-protein interactions, machine learning, and data visualization. Currently, I use mass spectrometry-based proteomics, lipidomics, and metabolomics methods and statistical modelling to characterize the pathological onset of gestational diabetes mellitus and future progression to type II diabetes.

Let's connect on social media

Let's connect on social media

Photo from my MSc convocation

🎓 Curriculum Vitae

Download my full CV as a .pdf

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🎓 Curriculum Vitae

Download my full CV as a .pdf

download cv
Experience

Developer (part-time)

Sept 2022 - present

Faculty of Medicine, University of Ottawa

Junior Research Technician

May 2022 - Aug 2022

Faculty of Medicine, University of Ottawa

Graduate Student Research Assistant (part-time internship)

Feb 2021 - Dec 2021

AI for Design Team, National Research Council of Canada

Junior Researcher

May 2018 - Aug 2019

Job Bank, Employment and Social Development Canada

Education

Ph.D. in Molecular Genetics (Computational Biology track)

Sept 2022 - present

Faculty of Medicine, University of Toronto

M.Sc. in Biochemistry (specializing in Bioinformatics)

Sept 2019 - Dec 2021

Faculty of Medicine, University of Ottawa

H.B.Sc. in Biopharmaceutical Science (Genomics option)

Sept 2015 - Apr 2019

Faculty of Science, University of Ottawa

Professional Activity

Vice-Chair of Logistics

Jan 2025 - present

Early Career Researcher Committee, Human Proteome Organization

Marketing and Outreach Committee Member

Jan 2021 - present

Human Proteome Organization

Early Career Researcher Committee Member

Nov 2020 - present

Human Proteome Organization

Operations Management Team Member

Nov 2020 - present

Canadian National Proteomics Network

📚 Publications

* = first author, co-first author

📚 Publications

* = first author, co-first author

Hashimoto-Roth, E.*, Van, J. A. D., King, A. S., Sun, B., Zhu, Y., Gunderson, E. P., Wheeler, M. B., & Röst, H. L (2025) A multi-omic approach to characterize the transition to type 2 diabetes after gestational diabetes mellitus. In preparation.

Van, J. A. D.*, Lo, J. C., Zhu, Y., King, A. S., Sun, B., Hashimoto-Roth, E., Röst, H. L., Alexeeff, S., Wheeler, M. B., & Gunderson, E. P. (2025) Early postpartum glucose tolerance reclassification by gestational diabetes mellitus subtypes. Submitted.

Ou, H.*, Surendra, A.*, McDowell, G. S. V., Hashimoto-Roth, E., Xia, J., Bennett, S. A. L., & Čuperlović-Culf, M. (2025) Imputation for Lipidomics and Metabolomics (ImpLiMet): Online optimization and method selection for missing data imputation. Bioinformatics Advances, 5(1), vbae209.

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Hashimoto-Roth, E.*, Forget, D., Gaspar, V., Bennett, S. A. L., Gauthier, M.-S., Coulombe, B., & Lavallée-Adam, M. (2025) MAGPIE: A machine learning approach to decipher protein-protein interactions in human plasma. Journal of Proteome Research, 24(2), 383-396.

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Hashimoto-Roth, E.*, Surendra, A., Lavallée-Adam, M., Bennett, S. A. L., & Čuperlović-Culf, M. (2022) METAbolomics data Balancing with Over-sampling Algorithms (META-BOA): an online resource for addressing class imbalance. Bioinformatics, 38(23), 5326–5327.

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Nadeau, R.*, Shahryari Fard, S.*, Scheer, A.*, Hashimoto-Roth, E.*, Nygard, D.*, Abramchuk, I.*, Chung, Y. E.*, Bennett, S. A. L., & Lavallée-Adam, M. (2020). Computational Identification of Human Biological Processes and Protein Sequence Motifs Putatively Targeted by SARS-CoV-2 Proteins Using Protein-Protein Interaction Networks. Journal of Proteome Research, 19(11), 4553–4566.

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