The San Francisco chapter of GDG aims to provide technical training on emerging google technologies, as well as to provide an environment that facilitates networking. GDG SF will be hosted once a month in San Francisco.
We're happy to have Lavanya Shukla, Cofounder of Dataland, as our speaker for the month of July!
About this talk:
In this talk, Lavanya will explore how machine learning can be used to find potential influences of dark matter in data obtained from CERN's Large Hadron Collider experiments. The 3 major things we’ll be exploring are:
1. Particle Physics: A gentle introduction to particle physics and how the large hadron collider works.
2. Particle identification: training a classifier to detect electrons, protons, muons, kaons and pions and other particles.
3. Searching for dark matter: training a neural network to distinguish between background noise and the signal, and then applying clustering algorithms to find potential traces of dark matter in this signal.
About our speaker:
Lavanya is a machine learning engineer who began working on AI 10 years ago when she founded ACM SIGAI at Purdue University as a sophomore. In a past life, she taught herself to code at age 10, and built her first startup at 14. She's driven by a deep desire to understand the universe around us better by using machine learning.
Link to her article about dark matter (https://lavanya.ai/searching-for-dark-matter/).