From startups to legacy brands, you're making your mark. We're here to help.
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Prepare for future growth with customized loan services, succession planning and capital for business equipment.
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Serving the world's largest corporate clients and institutional investors, we support the entire investment cycle with market-leading research, analytics, execution and investor services.
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Providing investment banking solutions, including mergers and acquisitions, capital raising and risk management, for a broad range of corporations, institutions and governments.
Your partner for commerce, receivables, cross-currency, working capital, blockchain, liquidity and more.
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A uniquely elevated private banking experience shaped around you.
Whether you want to invest on your own or work with an advisor to design a personalized investment strategy, we have opportunities for every investor.
For Companies and Institutions
From startups to legacy brands, you're making your mark. We're here to help.
Serving the world's largest corporate clients and institutional investors, we support the entire investment cycle with market-leading research, analytics, execution and investor services.
Your partner for commerce, receivables, cross-currency, working capital, blockchain, liquidity and more.
Prepare for future growth with customized loan services, succession planning and capital for business equipment.
Providing investment banking solutions, including mergers and acquisitions, capital raising and risk management, for a broad range of corporations, institutions and governments.
For Individuals
A uniquely elevated private banking experience shaped around you.
Whether you want to invest on you own or work with an advisor to design a personalized investment strategy, we have opportunities for every investor.
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We aim to be the most respected financial services firm in the world, serving corporations and individuals in more than 100 countries.
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Stanford University
Yang Song is a fourth-year PhD student in Stanford AI Lab, working with Prof. Stefano Ermon.
Yang's main research interest lies in the intersection between robust machine learning and generative modeling. He aims to improve the robustness of machine learning models by understanding the distribution of anomalous inputs using generative models, and detecting/defending against them accordingly. In order to capture the distributions better, Yang also works on new model architectures and training methods for building more flexible and expressive generative models.
Yang obtained his Bachelor of Science degree in Mathematics and Physics from Tsinghua University. He enjoys playing the violin in his leisure time.
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