Theodore Long currently serves as a Machine Learning Consultant at Atalaya Capital Management, where he leverages his advanced expertise in machine learning and data science to drive innovative solutions within the financial sector. With a recently completed Master of Philosophy in Advanced Computer Science from...
Theodore Long currently serves as a Machine Learning Consultant at Atalaya Capital Management, where he leverages his advanced expertise in machine learning and data science to drive innovative solutions within the financial sector. With a recently completed Master of Philosophy in Advanced Computer Science from the University of Cambridge, Theodore has honed his skills in Bayesian Optimization and deep learning, earning a Distinction for his groundbreaking research on machine learning algorithms for algebraic manifolds. This academic foundation empowers him to tackle complex challenges in data analysis and algorithm development.
At Atalaya, Theodore is at the forefront of building large language model (LLM)-powered knowledge retrieval and synthesis systems that enhance internal data utilization. His role involves exploring cutting-edge AI tools and technologies to optimize decision-making processes and improve operational efficiency. By integrating Apache Spark for large-scale data processing and employing advanced statistical techniques, he ensures that the insights derived from data are both actionable and impactful.
Theodore's proficiency in SQL and programming languages like Java and C further complements his analytical capabilities, enabling him to develop robust machine learning models that can adapt to the dynamic needs of the financial landscape. His commitment to continuous learning and innovation positions him as a key player in Atalaya's mission to harness the power of data science and machine learning, ultimately driving strategic growth and enhancing investment strategies. Through his work, Theodore exemplifies the intersection of technology and finance, paving the way for smarter, data-driven decision-making in the industry.
