Data Conference Databasea Query.Farm index
Speakers

Greg Michaelson

Employers on the program

  1. 2022–2026Zerve5 talks
Events4
Conferences3
Talks5
Years active2022–2026
Miles between events7,9194 in-person events · 4 countries

Appearances by year

201920202021202220232024202520262027
  • PyData
  • Data Decoded
  • JupyterCon

Talks

DateEventConferenceRoleTitleLinks
Apr 22, 2026Data Decoded LDN 2026Data DecodedspeakerAI as a Research Multiplier: Eliminating the Data Dependency Chain
as Zerve
Apr 22, 2026Data Decoded LDN 2026Data DecodedspeakerAI as a Research Multiplier: Faster Ideas, Faster Decisions
as Zerve
Apr 18, 2025PyData Virginia 2025PyDataspeakerSaving Lives with Data Science: How data science shortened the COVID-19 pandemic by 2 months
as Zerve
When every day counted during the COVID-19 pandemic, data science became an essential catalyst in accelerating the path to widespread vaccination. This talk…Show less

When every day counted during the COVID-19 pandemic, data science became an essential catalyst in accelerating the path to widespread vaccination. This talk delves into the data-driven strategies that enabled the U.S.

Video
May 10, 2023JupyterCon 2023JupyterConsponsored talkAutoML as it should have always been
as Zerve
When AutoML was popularised during the 2010s, there was a great hope that the citizen data scientist would take over machine learning and that business analysts…Show less

When AutoML was popularised during the 2010s, there was a great hope that the citizen data scientist would take over machine learning and that business analysts everywhere would soon be building thousands of advanced AI-based solutions, ushering in the age of AI in business. Not only did that...

Dec 2, 2022PyData Eindhoven 2022PyDatatalkSignificant Roadblocks to Usefulness for Jupyter Notebooks and a Recipe to Fix them
as Zerve
The most popular data science development tools have largely been developed by academics as scratch pads for interactive data exploration. Jupyter notebooks,…Show less

The most popular data science development tools have largely been developed by academics as scratch pads for interactive data exploration. Jupyter notebooks, for instance, were developed 20 years ago at Berkeley (they were called iPython notebooks at the time).

Video

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Vincent Gosselin2—2023

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.