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/).