👋🏾 Hi, I'm Louise

Building Algorithms for
Justice, Not Just Efficiency

AI Fairness Researcher • Machine Learning Engineer

I'm a Chevening/Lemann Alumna (2024/2025) and Machine Learning Engineer at CloudWalk, working at the intersection of technology and social justice. I completed my MSc in AI with Distinction at the University of Essex, investigating intersectional bias in content moderation systems. Previously at IDB and Ernst & Young.

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5+ Years Exp
3 Continents
5 Languages
fairness_pipeline.py 
# Mitigating intersectional bias
from fairlearn.reductions import ExponentiatedGradient
from fairlearn.metrics import demographic_parity_difference

# Baseline accuracy gap: Black women -12.6%
baseline_gap = -0.126

# Apply in-processing mitigation
mitigator = ExponentiatedGradient(
    estimator=base_model,
    constraints=DemographicParity()
)
mitigator.fit(X, y, sensitive_features=groups)

# Result: Gap reduced to -4.6%
print("Bias reduction: 64%")
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What I Bring to the Table

My work bridges the gap between technical implementation and ethical responsibility. From classifying harmful content to governing enterprise data, I build systems that protect people.

Fairness Research

Investigating bias in NLP models for sensitive content. My MSc dissertation reduced algorithmic disparity against Black women by 64%.

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Cybersecurity & Data

Professional experience in data loss prevention, GDPR/LGPD compliance, and AI security at Big Four firms and global fintechs.

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DEI Leadership

Chief Diversity Officer at Shaping Horizons. Building pathways for underrepresented groups in tech through Negritude no PhD.

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Currently Exploring

01

Intersectional Bias in Content Moderation

How do classification algorithms inadvertently penalize LGBT and BIPOC creators? I'm developing fairness interventions using Fairlearn and custom NLP pipelines to fix this.

02

Cultural Data Mining

Applying computational methods to understand cultural patterns in digital spaces. My recent work analyzed 140,000+ films to map historical representation trends.

Let's Build Fairer Technology Together

I'm always open to collaborating on projects that center equity, justice, and ethical AI. Whether you're a researcher, organizer, or just curious about algorithmic fairness — let's connect.

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