Presented by Justin Langseth VP of Data Exchange at Snowflake

Abstract TBA

About the Speaker

Justin Langseth is the VP of Data Exchange at Snowflake. He and his team are highly involved in our most “data-forward” customers as it relates to the sharing and monetization of data. Snowflake’s unique architecture and multi-cloud presence allows for streamlined and scalable ways to monetize data through our Data Exchange.

When

March 19th, 2020 (Chapter meetings held on third Thursday of the month)

Schedule

8:30 – 9:00 – Snacks and warm-up 9:00 – 10:30 – Presentation

Standard Insurance Tower Auditorium (NOT Atrium, Auditorium is on lower level of lobby) 900 SW 5th, please note Standard Ins. has multiple downtown locations

Cost

Free for members (including ALL employees of corporate members) $15 for non-members $5 for students with valid student ID

Standard Insurance Center, 900 SW 5th Ave, Portland, OR 97204, USA

Presented by NASA Scientists Sponsored by Snowflake

Calling all data enthusiasts and/or space nerds in Portland, Oregon and beyond. Join us for an exciting, all-day virtual event with NASA scientists. Attendees will work with actual NASA data and have an opportunity to collaborate on matters of data analysis directly with our presenters.

Opening Remarks: 8:30 AM: DAMA PDX Board

Morning Session: 9AM – 11:30 AM: Eric Lyness and Victoria Da-Poian, NASA

Eric Lyness is the NASA software and operations lead at Goddard Space Flight Center for the Mars Organic Molecule Analyzer on the ExoMars 2020 rover and Victoria Da-Poian is an Aerospace Engineer. They will present their talk, Machine Learning to Find Life on Mars and Beyond.

In 2021 the European ExoMars rover will land on Mars with the Mars Organic Molecular Analyzer (MOMA) laboratory to analyze soil samples searching for past or present life. NASA is developing machine learning algorithms to help the scientists more quickly analyze the data when it arrives from Mars. In this talk, we will present the current work using MOMA mass spectrometer data acquired during ground testing. Using this data we are aiding the scientists by matching new spectra with the most similar spectra from past experiments. We will present the nuances of mass spectra, our limitations with respect to data, and our approach to the problem. We hope to elicit feedback from the attendees.

More details at https://phys.org/news/2020-06-nasa-life-mars.html.

30 minute Break

Lunch Session: 12:00 – 1:00 PM: Snowflake Presentation, Drew Swanson and Brian Whittington

30 minute Break

Afternoon Session: 1:30 PM – 3:30PM: Details soon!

15 minute Break

Closing Remarks and Next Steps: 3:45 – 4:00 PM: DAMA PDX Board

Times above may be revised in the days before our event.

Event will be presented via a Zoom bridge. Analytical discussions and collaboration will be hosted via a Slack workspace that will begin on event day and last for a few weeks afterwards. This is a BYOAE (bring your own analytical environment). However, attendees will have access to the data via Snowflake and to notebook templates via Zepl.

Pre-event tasks for analysis setup will be shared on 10/19 via email.

Date – Thursday, Oct. 22nd Time – 8:30 – 4:00pm

NOTE: This is an all day event