Assistant Professor Department of Psychiatry and Faculty of Computer Science
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Dalhousie University
Data Scientist
June 25, 2026 – Present
thesis-supplement-files
January 30, 2020 – February 7, 2020
Supplementary code for Nunes A. Measurement of Heterogeneity in Computational Psychiatry (PhD Thesis)
View ProjectRRH
December 3, 2019 – March 26, 2020
Code for ``Representational Rényi Heterogeneity'' by Nunes A, Alda M, Bardouille T, and Trappenberg T.
View Projectcriticism
June 11, 2019 – December 26, 2022
A package for simulation-based criticism of machine-learning models.
View Projectgwasim
February 1, 2019 – February 14, 2019
Evolve synthetic data for machine learning on genomic data.
View Projectnewton-raphson
April 3, 2018 – December 8, 2024
An implementation of logistic regression with the Newton-Raphson method.
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong interest in data science, machine learning, and computational research, which aligns well with a Data Scientist role. The diversity of tools used (Python, Stan, R, Mathematica, Jupyter Notebook) indicates adaptability and a willingness to explore different technologies. The academic background and research-focused projects suggest a collaborative and inquisitive nature, which could be a good cultural fit for a research-driven environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong analytical and research-oriented mindset. The focus on computational psychiatry and machine learning model criticism indicates a detail-oriented approach. However, without specific assessment data for soft skills or operational fit, a comprehensive evaluation is not possible.