Michael Neely
Data ScientistMember since June 26, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
indirect-response
April 22, 2021 – May 29, 2021
Implementation of "Interpreting Indirect Answers Using Self-Rationalizing Models," a project conducted as part of the Computational Dialogue Modelling course at the University of Amsterdam.
View ProjectARL-UvA
January 29, 2021 – January 30, 2021
A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demographics through Adversarially Reweighted Learning".
View Projectdeceptive-attention-master_fact_ai
January 15, 2021 – January 29, 2021
deceptive-attention-master_fact_ai — GitHub repository
View Projectdeceptive-attention-reproduced
January 4, 2021 – December 15, 2022
Reproduction and replication of the paper "Learning to deceive with attention-based explanations." by Pruthi et al.
View Projectfact-ai
January 4, 2021 – March 21, 2021
Reproducibility Project: Fairness without Demographics through Adversarial Reweighted Learning
View Projectmodel-uncertainty-pos-tagging
September 14, 2020 – December 1, 2021
University of Amsterdam Deep Learning for Natural Language Processing Fall 2021 Course Project - POS Tagging with Bayesian Model Averaging
View Projectlets-test-compositionality
September 11, 2020 – September 11, 2020
Evaluating the compositionality of recurrent and attention-based neural models in terms of both localism and systematicity in the context of a sequence-to-sequence machine translation task on an artificial compositional language
View Projectprobing-ar-language-models
September 11, 2020 – September 11, 2020
We investigate the extent to which popular recurrent and attention-based neural models trained with an auto-regressive language modeling objective can represent the hierarchical nature of language by probing linguistic and structural properties using diagnostic classifiers.
View Projectcourt-of-xai
July 20, 2020 – May 30, 2023
Court of XAI - A Python library for the systematic comparison of feature additive explanation methods.
View Projectsparse-attention-explanation
January 6, 2020 – March 25, 2020
Analysis of 'Attention is not Explanation' performed for the University of Amsterdam's Fairness, Accountability, Confidentiality and Transparency in AI Course Assignment, January 2020
View ProjectCultural Fit Analysis
The candidate's projects are predominantly academic and research-focused, primarily from university courses or personal reproducibility efforts. While demonstrating strong technical interest in specific AI subfields, there is no information on collaborative team projects, industry experience, or diverse project types that would indicate broader cultural fit or adaptability to different work environments. The focus on fairness and interpretability in AI aligns with ethical considerations often valued in modern tech cultures.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest an ability to work on complex research-oriented tasks, which may indicate strong problem-solving and independent work skills.