PyData NYC

November 6-8, 2024

Microsoft Conference Center, 11 Times Square

Microsoft Conference Center, 11 Times Square

What to Expect

PyData NYC 2024 is a 3-day in-person event for the international community of data scientists, data engineers, and developers of data analysis tools to share ideas and learn from each other.

During the conference, attendees will have the opportunity to attend live keynote sessions and talks, lightning talks, and get to know fellow members of the PyData Community.

The event will be in-person at the Microsoft Conference Center, Times Square (11 Times Sq, New York, NY 10036). Wednesday, November 6 is a tutorial day, and Thursday and Friday, November 7-8 are talk days.

Keynote Speakers

  • Amanda Silver

    Amanda Silver is the Corporate VP and Head of Product for Microsoft's Developer Division, whose mission is to empower developers and their teams to achieve more. It includes our developer tools, runtimes, and services; the developer experience for Azure; our Azure Application Development PaaS and serverless offerings; Azure DevOps; the Open Source Programs Office, and Microsoft’s first-party Engineering Systems team. 

     Her focus on customer-driven engineering with a tight digital feedback loop has fueled culture change at Microsoft. She championed customer-focused innovations like Visual Studio Live Share and IntelliCode, which have transformed how developers and teams build and collaborate worldwide. She’s also played a major part in the introduction of Microsoft’s open source products, having led the TypeScript and Visual Studio Code launches, and in the acquisitions of Xamarin and GitHub.  Unleashing the creativity of all developers is her personal mission.

  • Sabrina Hsueh, PhD, FAMIA

    Dr. Sabrina Hsueh is an accomplished Ethical AI and External Innovation Lead at Pfizer, where she spearheads the development and implementation of AI strategies. With a focus on AI observability, guardrails, and governance, Dr. Hsueh champions equitable AI in healthcare across enterprises such as IBM and Pfizer, as well as start-ups in the A16z and Khosla Ventures portfolios. Dr. Hsueh leads industrial AI standard-setting initiatives with public-private partnerships and professional societies. She also serves on the ACM Practitioners’ Board, co-chairs the Women in AMIA steering committee and co-founded an international work group to address global women’s health gaps and drive diversity and inclusion in informatics. Her dedication to leveraging informatics and AI evaluation has led to over 80 technical publications, patents, and co-edited special issues in reputable journals and textbooks (e.g., Personal Health Informatics by Springer Nature). Dr. Hsueh's commitment to ethical AI and her leadership in AI standardization make her a sought-after speaker and consultant, winning awards and nominations across the fields as a Responsible AI leader in HCLS, paving the way for a more trustworthy adoption of AI technologies in a dynamic regulatory landscape.

  • Dr. Lawrence Gray

    An AI leader with a mission, Dr. Lawrence Gray brings a wealth of experience from the consulting, accounting, and geospatial intelligence sectors to his role as Director of Engineering at KUNGFU.AI. With a Ph.D. from Johns Hopkins in Cellular and Molecular Physiology and a career spanning over 10 years, Dr. Gray has consistently pushed the boundaries of what's possible with machine learning and data-driven decision-making. As an Adjunct Professor at Georgetown University, he shapes the next generation of data practitioners, teaching courses in Data Analytics and Data-Driven Decision Making. Dr. Gray's commitment to open science is evident in his work with NumFocus and as a core maintainer of Yellowbrick. Currently authoring two books for Manning Publications, he continues to share his expertise with the wider tech community. Dr. Gray is particularly excited by the potential of AI to drive new discoveries in mental health, fueled by a passion to improve the lives of those affected by mental illness. This enthusiasm reflects his belief in AI as a powerful tool for groundbreaking research and positive societal impact.

  • Benjamin Zaitlen

    Benjamin Zaitlen is a System Software Manager at NVIDIA RAPIDS, where he leads  teams developing single and multi-node GPU tooling for PyData. He has been a long-time contributor to the Python and PyData ecosystem and holds an MS in physics from Indiana University.

Thank You to our Sponsors!

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Location

The event will be in-person at the Microsoft Conference Center, Times Square (11 Times Sq, New York, NY 10036).

Wednesday, November 6, is a tutorial day, and Thursday and Friday, November 7-8 are talk days.