Talks

Selected Public Talks

1. The 6th Neighborhood Workshop (Penn State University, April, 2024):

In Search of Cosmic Topology with AI

I present our newest results on using machine learning as a tool to detect signatures of cosmic topology in the cosmic microwave background. 

2. Cosmo'23 (IFT, Madrid, September, 2023): 

In Search of Cosmic Topology with AI

A longer and more explicit version of the talk listed above. Here I go into more detail about the different machine learning algorithms used to detect evidence of non-trivial cosmic topology in the cosmic microwave background data. 

3. QMUL Lunch talk (Queen Mary University of London, online, February, 2022):

Numerical Studies of Screening With FEM

I discuss our recent results of applying our FEM code SELCIE to solve the equation of motion in chameleon gravity in the context of vacuum chamber experiments, galaxy clusters and cosmic voids. 

4. Alternative Gravities and Fundamental Cosmology (University of Szczecin, Online, September, 2021):

On the Viability of Chameleon Gravity in Galaxy Clusters and Cosmic Voids

In this talk I discuss the recent results of applying the finite element approach for solving the equations in chameleon gravity in the context of galaxy clusters and cosmic voids. The finite element method (FEM) is discussed in detail. The talk is concluded by analysing the viability of detecting chameleon gravity effects observationally in cosmic voids and galaxy clusters. 

5. The Three Hundred Project collaboration meeting (Universidad Autónoma de Madrid, Online, July, 2021):

Looking for the Fifth Force Using Galaxy Clusters

Galaxy clusters hold a wealth of information about the underlying physics of gravity. In this talk I present a number of numerical calculations (using our numerical code SELCIE) for the fifth force in galaxy clusters of different shapes, concentrations and virial masses. The talk is concluded by discussing the viability of detecting such effects observationally. 

6. Cosmology Journal Club (ETH Zurich, Online, March, 2021):

Emulating Cosmological Simulations with GANs

Generative adversarial networks (GANs) possess a seemingly magical ability to mimick statistically complicated datasets (e.g. weak lensing convergence map data or N-body simulation outputs). In this talk I present my results of applying a GAN algorithm to generate a number of cosmological datasets. The GAN algorithm is introduced with a special emphasis on the technique of latent space interpolation. Some ideas for improving the currently used techniques for latent space interpolation are suggested.

7. LPPM 2021: Lithuanian Particle Physics Meeting (CERN, online):

Theoretical and Experimental Tests of Modified Gravity

In this talk I presented an overview of my recent work with a key focus on tests of modified gravity using numerical techniques. In addition, I provide a brief overview of some of the experimental tests of modified gravity. This includes vacuum chamber experiments, which provide some of the most stringent constraints on screened theories of gravity.