Meet Our Financial ML Experts

The minds behind Zentroxa Luxar's approach to machine learning education in finance. Each team member brings unique perspectives from quantitative finance, data science, and algorithmic trading backgrounds.

Celestine Rothwell

Senior ML Research Director

Quantitative Finance Deep Learning Risk Modeling

Celestine spent seven years developing predictive models for emerging markets at institutional trading firms. Her work focused on volatility forecasting and portfolio optimization using neural networks. She joined our team in early 2024 after completing her research on transformer architectures for financial time series.

Background & Expertise

PhD in Computational Finance from University of Cambridge
Former Senior Quantitative Analyst at Renaissance Technologies
Published 12 peer-reviewed papers on ML applications in finance
Specialist in LSTM and attention mechanisms for market prediction
Guest lecturer at London School of Economics since 2023

Our Collective Approach to Financial Machine Learning

Practical Implementation Focus

We emphasize real-world applications over theoretical concepts. Our curriculum includes hands-on projects using actual market data, walking students through the complete pipeline from data preprocessing to model deployment.

Risk-Aware Model Development

Every algorithm we teach includes comprehensive risk assessment frameworks. Students learn to build models that account for market volatility, regulatory constraints, and the limitations of historical data in predicting future performance.

Cross-Market Validation

Our team's experience spans multiple financial markets including equities, fixed income, and derivatives. This diversity ensures students understand how ML techniques perform across different asset classes and market conditions.

We believe machine learning in finance requires more than technical proficiency. It demands deep understanding of market mechanics, regulatory frameworks, and the ethical implications of algorithmic decision-making. Our approach combines rigorous technical training with practical market wisdom.