Adam A.
Undergraduate Researcher (Master\'s Thesis) @Oxford-Man Institute Of Quantitative Finance, University Of Oxford
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WORK HISTORY
Undergraduate Researcher (Master\'s Thesis) @Oxford-Man Institute Of Quantitative Finance, University Of Oxford
Developing a spatio-temporal machine learning framework for options signal generation, constructing delta-neutral equity straddle return series from OptionMetrics data and investigating dynamic graph generation to model cross-asset dependencies, with a focus on interpretability and downstream inference- Researching & developing hybrid architectures combining GNNs with xLSTM models for financial time-series forecasting, focusing on graph-based relational reasoning and temporal dependency modelling- Implementing and evaluating models using PyTorch Geometric (PyG), NetworkX, and PyTorch
EDUCATION
Oxford Spires Academy - Sixth Form
A-Levels
University of Oxford
Master's degree, ENGINEERING
ABOUT ADAM A.
Oxford Engineering student specialising in machine learning and AI systems. At Alloyed, I deployed scalable ML pipelines and Transformer models, automating workflows with Airflow, MLflow, and Azure. I achieved 2nd place in Millennium’s trading simulation during their insight day by developing an ETF arbitrage strategy that generated $60M in simulated PnL. As Founder of Oxcellerate Mentoring, I launched an Oxbridge access platform with 80+ signups in its first month, and hosted a free webinar with 120+ attendees. I’m passionate about building data-driven systems, from AI infrastructure to quantitative strategies, that deliver impact.
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