Past Events

  • 2020 Feb 12

    Industry Seminar: Zac Kriegman, Thomson Reuters

    5:00pm to 6:30pm

    Location: 

    Cambridge TBD

    Title: From JD to Data Science:  A Case Study in AI and Law

    Thomson Reuters Westlaw has long integrated machine learning and AI into its product offerings. However, in the last few years, deep neural networks have been responsible for a sea change in NLP capabilities, making possible what, until recently, would have been considered science fiction. Zac Kriegman will describe his path from a Harvard JD to a data science career focused on deep learning, and demonstrate a case study illustrating how some of these new techniques were applied to...

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  • 2020 Feb 03

    Industry Seminar: Dan Svirsky, Uber

    5:00pm to 6:30pm

    Location: 

    Sever Hall 213 Harvard University

     

     

    Title: Fighting Discrimination on Tech Platforms: An Insider and Outsider Account

    Abstract: The rise in online market platforms creates new challenges in the fight against discrimination. While in theory, online markets can help prevent discrimination by obscuring users' demographic traits, the opposite is also possible. This talk covers a range of projects aimed at combating discrimination on tech platforms. The talk focuses equally on projects conducted as an outsider -- as an academic, or as part of public interest lawsuits -- and as an...

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  • 2019 Dec 03

    Industry Seminar: Steve Sain, Jupiter Intel

    5:00pm to 6:30pm

    Location: 

    Sever Hall 213 Harvard University

    Data science and the estimation of coastal flood risk

    Jupiter Intelligence is focused on providing customers information about the risks of various hazards that are impacted by extreme weather and climate change. This is accomplished through an innovative computational pipeline incorporating different geophysical models, machine learning algorithms and tools from applied statistics. This presentation will focus on data science at Jupiter and more specifically the role of data science in estimating the risk of coastal flooding. 

    ...

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  • 2019 Nov 19

    Industry Seminar: Tomer Weiss, Wayfair

    5:00pm to 6:30pm

    Location: 

    Sever Hall 213 Harvard University

    (1)Title: Wayfair: Finding your perfect home with data and computational interior design

    (2)Abstract:

    Tomer Weiss will share his experience as a data scientist and machine learning practitioner at Wayfair. 

    Machine learning is an important tool at Wayfair for addressing both customer, and business problems.

    First, he will discuss a typical machine learning project’s life cycle, starting with the problem being address, and moving into how an initial solution was scoped and iterated on afterwards. Then, he will exemplify with his...

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  • 2019 Nov 13

    Industry Seminar: Estella Geraghty, Esri

    1:00pm to 2:00pm

    Location: 

    Countway Library Lahey Room

    Reflections from a Topophiliac

    Description: Geography is the science that connects people, places and their interactions. By its nature, geography is a science of storytelling and deeper understanding of the human experience. When applied as a technology, a geographic information system (GIS) can help health organizations make sense of complex interactions among populations and their environments. The resulting location intelligence offers tremendous value in promoting health and well-being on a personal and a population level while also supporting major strategic plans for...

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  • 2019 Oct 29

    Industry Seminar: Peak6

    5:00pm to 6:30pm

    Location: 

    Sever Hall 213

    Leveraging Data Science Across a Diverse Investment Portfolio

    PEAK6, a technology and investment firm, was an early pioneer in the application of data science in the options market.  Today, people believe data science is the cornerstone for efficiently managing risk.  PEAK6 has grown by taking lessons learned from using data science and understanding it’s strengths and weaknesses. In this talk, Matt Hulsizer and Mike Treacy will discuss how PEAK6 was able to harness core principals from the intersection of analytics and trading to successfully expand into different...

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