Topic: The Galaxy Manifold: A statistical and systematic analysis of intrinsic galaxy properties.
Overview: I am exploring a multi-dimensional approach to galaxy modeling. Most traditional analysis is performed on correlations of two parameters at a time. I am developing a framework for examining trends in any number of parameters simultaneously. I use machine learning models and techniques to fully extract all available information. By determining which parameters are fundamentally linked to each other, I can connect models of galaxy formation to real observations and possibly learn about the nature of dark matter.
Listen to Fast Radio Bursts on podcast, bring exciting space news hot off the telescope into your ears.
Grad Chat -Suyin Olguin & Colette Steer: What to Expect in 2023
OR in other words – Precisely and Reliably Capturing Tiny Liquid Volumes The challenge of pipetting small volumes, i.e., sub-microliter amounts, is ubiquitous among...
Topic: “The Future of Work” Overview: I am interested in the future of work and the changing nature of work more specifically how employees...
