Resume

Education

September 2024 - June 2026

Polytechnique Montreal & Mila - Quebec AI Institute

M.ASc Software Engineering

Tackling dimensionality problems in neuroproshetics through Hierarchical Gaussian Processes under the supervision of Prof. Marco Bonizzato and Guillaume Lajoie. Work extends beyond Gaussian Processes, with various collaborative projects at Mila - Quebec AI Institute in LLM research and neuroscience research.

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September 2020 - June 2024

McGill University

B.Sc Honours Computer Science

Was awarded first class honours at graduation for exceptional standing in the honours Computer Science degree. I also followed my passion in the health sciences, undertaking a minor in Neuroscience in order to learn the material necessary to apply my computer science background to medical scenarios. Throughout my degree I took part in many extra curriculars, spanning from independent research endeavours, playing on the McGill Men's Volleyball team, to directing the science undergraduate society's mental health committee.

Awards & Distinctions

Nature et Technologies Sector – Master’s Research Scholarship

Fonds de Recherche Québec (FRQ)

Canada Graduate Scholarship - Master's Program

Natural Science Research Council of Canada

Presentations & Workshops

July 2025 (Vienna, Austria)

Poster Presentation

63rd Annual Meeting of the Association for Computational Linguistics

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June 2025

Speaker - Neuroprosthetics Symposium

Polytechnique Montreal

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April 2025

Selected Oral Presentation

CIRCA Scientific Retreat

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March 2025

Selected Oral Presentation

PolyCongre - Student Engineering Research Conference at Polytechnique Montreal

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March 2025

Speaker - SNC Neurodiscussions

Universite de Montreal Signalisation Neurale et la Circuiterie (SNC) Research Group

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February 2025

Workshops Leader - Deep Dive on DeepLabCut

Universite de Montreal, CIRCAteliers

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December 2024 (Vancouver, Canada)

Poster Presentation

Safe Generative AI Workshop @ NeurIPS 2024

Selected Publications

1. S. Mohammadzadeh*, J. D. Guerra*, M. Bonizzato, R. Rabbany, and G. Farnadi, ‘Hallucination Detox: Sensitivity Dropout (SenD) for Large Language Model Training’, in The 63rd Annual Meeting of the Association for Computational Linguistics, 2025.

2. J. D. Guerra, T. Garbay, G. Lajoie, and M. Bonizzato, ‘Bidirectional Information Flow (BIF) - A Sample Efficient Hierarchical Gaussian Process for Bayesian Optimization’, May 16, 2025, arXiv: arXiv:2505.11294. doi: 10.48550/arXiv.2505.11294.

3. K. A. Williams, O. Numssen, J. D. Guerra, J. Kopal, D. Bzdok, and G. Hartwigsen, ‘Inhibition of the inferior parietal lobe triggers state-dependent network adaptations’, Heliyon, vol. 10, no. 21, Nov. 2024, doi: 10.1016/j.heliyon.2024.e39735.