Rahif Kassab holds a PhD in Information Theory and Machine Learning from King's College London. They have worked at the intersection of Machine Learning, Optimization, and Information Theory, with past roles including PhD Research Intern at Huawei and Virtual Academy Program Participant at McKinsey & Company. Currently, Rahif is involved in developing systematic trading strategies as a Quantitative Investment Strategies (QIS) Quant at HSBC London. Their educational background includes a Master's degree in Advanced Communication Networks from École Polytechnique and an engineering degree in Computer Science from Télécom Paris.
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