Open-source data tools for health care and climate science solutions

Women Techmakers Hamburg

Our next remote Meetup will be about Data Science and how to use Open Source Data Tools to create solutions for health care and climate science. We are hosting this Meetup together with Hamburg's PyData Meetup. 👩‍🏫 Speakers: ▶ Rachel Shalom ( Data Scientist Owlytics healthcare) Rachel is a data scientist at Owlytics healthcare from Tel Aviv, where she works on various tasks to make life better

Jul 21, 2020, 4:30 – 6:30 PM (UTC)

14 RSVP'd

Key Themes

About this event

Our next remote Meetup will be about Data Science and how to use Open Source Data Tools to create solutions for health care and climate science. We are hosting this Meetup together with Hamburg's PyData Meetup.

👩‍🏫 Speakers:

▶ Rachel Shalom ( Data Scientist Owlytics healthcare)
Rachel is a data scientist at Owlytics healthcare from Tel Aviv, where she works on various tasks to make life better for the elderly using the data coming from their smart watches. She has a B.Sc. in Mathematics, an MBA, and has graduated Cum Lauda from the Machine Learning program at Yandex school of data science. In her free time you'll likely find her getting her cardio in at the gym, or exploring foreign languages.

▶ Aaron Spring (PhD candidate, Max Planck Institute for Meteorology)
Aaron is a PhD candidate in the ocean biogeochemistry research group at the Max Planck Institute for Meteorology in Hamburg.

⏰ Agenda:

- Virtual drinks and mingling (please bring your own drinks!)

- Welcome from moinworld & PyData

- Talk 1: “Fall detection in the elderly using Smartwatch Sensor Data” by Rachel Shalom

According to the World Health Organisation, falls are the second leading cause of accidental or unintentional injury deaths worldwide. In this talk Rachel will share insights on working with smart watch sensor data, and explain the approaches Owlytics took for detecting falls using classic ML and deep learning methods.

- Talk2: “Python for Big Data in Climate Science” by Aaron Spring

Climate scientists analyze massive amounts of data to understand the earth system - around 30PB for the upcoming IPCC report. Frameworks such as xarray and dask extend numpy to handle these larger-than-memory data challenges. Aaron demonstrates a workflow from the viewpoint of a climate scientist and invites you to play around with publicly available climate data.

- Discussion & networking & open end

👋 Looking forward to seeing you soon!

- Our virtual room capacity is limited to 300 attendees. So RSVP on meetup.com please and do take the time to cancel if you cannot join.
- The link to the Zoom meeting will be displayed to you on meetup.com when you RSVP. Please do not share it.

Organizers

  • Julia Heidinger

    Social Developers Club

    Co-Founder

  • Florentine Draeger

    GDG + WTM Organiser

  • Ellen Schwartau

    1KOMMA5°

    Senior Software Engineer

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