Stanley Yeung is an experienced data scientist and quantitative research analyst with a focus on machine learning and quantitative trading strategies. Currently serving as a Senior Data Scientist at CaaStle since June 2022, Stanley Yeung specializes in fine-tuning language models like T5, BERT, and CLIP to improve natural language understanding and image-text interactions. Prior to this, Stanley Yeung held the position of Senior Quantitative Research Analyst at Blue Water Macro, where responsibilities included building and executing quantitative trading strategies. Stanley Yeung started as a Quantitative Research Analyst at TrimTabs Investment Research, developing successful quantitative investment models and conducting various data projects. Stanley Yeung began the professional career in equity research at Topeka Capital Markets, automating research operations in the oil and gas E&P sector. Stanley Yeung holds a Master's degree in Financial Engineering from New York University and a B.S. in Business-Finance from San Jose State University.
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