Andrew O. Arnold
  • Principal Applied Machine Learning Engineer, Shopify
  • Adjunct Professor, New York University
  • Quantitative Portfolio Manager
  • Ph.D., Machine Learning, Carnegie Mellon University
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  • About me •  Professional •  Teaching •  Patents •  Publications •  Invited talks

About me

I am a hands-on technical and scientific expert with experience both as a tech lead and senior individual contributor delivering complex, high impact applied machine learning research projects in the areas of science, technology and quantitative trading. Currently Principal Applied Machine Learning Engineer at Shopify, building machine learning based features and products to help make commerce better for everyone. Previously Chief Scientist at Oracle Alpha leading machine learning and natural language processing research and production for an emerging systematic fundamental hedge fund. I am also an Adjunct Professor in NYU's Department of Finance and Risk Engineering, lecturing on natural language processing and machine learning applied to quantitative trading and finance. I received my Ph.D. in Machine Learning from Carnegie Mellon University, and my BA in Computer Science and Artificial Intelligence from Columbia University.

With expertise in machine learning, natural language processing and quantitative trading, my personal research interests are in robust machine learning, developing models and features that are robust to: I am particularly interested in applications of robust machine learning to time series and natural language processing models in financial and other domains.
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Invited Talks