Data Science Lightning Talks: November Edition

Online and In-Person!

Seating is limited to 50 people, so if you are interested in seeing the talks in-person, please sign-up here https://deepweb.me/nextcloud/index.php/apps/forms/yY6rpeyqc4sEpbet

The talks will be recorded.

Talks:
- Sumit Meghlani: FIRST E.A.D (EEG Aided Detection)
- Nicole Hong: Machine Learning for an Insightful Search Engine
- Bill Tubbs: Smoothing a Signal
- Robin Chauhan: Clinical Decisioning with Vickers’ Decision Curve Analysis

If you are interested in giving a lightning talk, please fill out this form:
https://forms.gle/Y1HQmACr8z9uajuo8
If you have questions about presenting, please message @lstmemery on the VanTech slack

Agenda:
Doors at 6pm
Talks from 6:30 to 7:30
More Q&A: 7:30 - 8:00
Dinner and Drinks: 8:00 and on at Library Square

Data Science Lightning Presentation Rules

• The subject should be something about data science.
• Total Length: 7 minutes, starting when you move off the first slide.
• Prepare for 10 minutes of questions after each presentation.