The Universe from the perspective of machine learning and data science
Public talks, UPEI, Cairo, Egypt
Talk, Public talks, UPEI, Cairo, Egypt
Talks & presentations
Talks
Invited talks, colloquia, and conference presentations on cosmology, simulations, and machine learning.
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Learning Cosmology with Graph Neural Networks
BCCP Seminars, UC Berkeley, Berkeley, US
Talk, BCCP Seminars, UC Berkeley, Berkeley, US
How to use graph neural networks to understand the Universe?
AstroGainz group meeting, Chile
Talk, How to use graph neural networks to understand the Universe?, Universidad Técnica Federico Santa María, Chile - Remote
The use of machine learning and artificial intelligence in astrophysics, cosmology, and gravitation researches
As astrocientistas: III Encontro Brasileiro de Meninas e Mulheres da Astrofísica, Gravitação e Cosmologia, Astrocientistas
Panelist, As astrocientistas: III Encontro Brasileiro de Meninas e Mulheres da Astrofísica, Gravitação e Cosmologia - Remote.
Cosmology with graph neural networks
SP Research Group meetings in Astro & Cosmo, Principia Institute
Talk, SP Research Group meetings in Astro & Cosmo – Principia Institute, São Paulo, Brazil
Graph neural networks for Cosmology
First Learning on Graphs (LOG) conference in South America, ICMC
Talk, First Learning on Graphs (LOG) conference in South America – ICMC, São Carlos, Brazil
Measuring the impact of systematics on the predictions of 𝛀m on simulated galaxy catalogs using graph neural networks
ML Session of DoA, Tsinghua University, Beijing, China
Virtual talk, ML Session of DoA, Tsinghua University, Beijing, China
Measuring the impact of systematics on the predictions of 𝛀m on simulated galaxy catalogs using graph neural networks
Yale Astronomy Data Science Seminar, Yale University, New Haven, CT, US
Virtual talk, Yale Astronomy Data Science Seminar, Yale
A proper probabilistic approach for halo-galaxy connection and likelihood-free parameter inference
AI driven discovery in Physics and Astrophysics - CD3, UTokyo, UTokyo, Japan
Coordinates
The Influence of Systematics on Galaxy Catalogs - looking for a robust model to do field-level likelihood-free inference
Seminários do CBPF/COTEC, CBPF, Rio de Janeiro, Brazil
Talk, Seminários do CBPF/COTEC, CBPF, Rio de Janeiro, Brazil
Before real data: pressing graph neural networks to do field-level simulation-based inference with galaxies
ML-IAF/CCA-2023: Debating the potential of machine learning in astronomical surveys, CCA, New York, NY, US & IAP, Paris, France
Coordinates:
How to use Machine Learning (to try) to understand the Universe
III mini-Workshop on the halo-galaxy connection for the South American community, Universidad de Atacama, Copiapó, Chile
Coordinates
Cosmology from field-level likelihood-free inference: The first steps towards real data
Pre-doc symposium , Flatiron Institute, New York, NY, US
Coordinates:
Field-level simulation-based inference: using GNNs to get a robust model
CITA cosmology discussion, University of Toronto, Toronto, Canada
Talk, CITA cosmology discussion, University of Toronto, Toronto, Canada
Cosmology from galaxy phase-space information and a bit of halo-galaxy connection
Grav Seminars, Gravitational Geometry and Dynamics research group, Aveiro, Portugal - Online
Coordinates:
Unraveling Cosmology from field-level likelihood-free inference - A robust model
Renoir Science Seminar, Recherche Energie NOIRe (RENOIR), Marseille, France
Talk, Renoir Science Seminar, Recherche Energie NOIRe (RENOIR), Marseille, France
Field-level likelihood-free inference with galaxies: a robust model
Cosmology Seminar KIPAC, Stanford University, Santa Clara County, CA, US
Coordinates:
Implicit likelihood inference using graph neural networks: a robust model to constrain 𝛀m
Data-Science X Astro seminar, Yale University
Talk, Data-Science X Astro seminar, Yale University, Yale University, New Haven, CT, US
A robust model to constrain 𝛀m with implicit likelihood free-inference
Open Group Seminars - Prof. Cora Dvorkin, Harvard University, Cambridge, MA, US
Coordinates:
Implicit likelihood inference: a robust model to constrain 𝛀m
Group Seminars - Prof. Bhuvnesh Jain, UPenn, Philadelphia, PA, US
Talk, Group Seminars - Prof. Bhuvnesh Jain, UPenn, Philadelphia, PA, US
Simulation-based inference: constraining Ωm with galaxies phase-space information
Tri-state Cosmology X Data Science Meeting, Flatiron Institute, New York, NY, US
Talk, Tri-state Cosmology X Data Science Meeting, Flatiron Institute
Using graph neural networks to constrain Ωm - A robust model
Cosmology Lunch Talks, Institute of Advanced Studies (IAS), Princeton, NJ, US
Talk, Cosmology Lunch Talks, Institute of Advanced Studies (IAS), Princeton, NJ, US
Constraining Ωm with phase-space information of galaxies
KITP Conference: Galaxy Formation and Evolution in the Data Science Era, UC Santa Barbara, Santa Barbara, CA, US
Coordinates:
Can we use galaxies to constrain 𝛀m?
Journal club: Berkeley Cosmology Group, UC Berkeley, Berkeley, CA, US
Virtual talk, Journal club: Berkeley Cosmology Group, UC Berkeley, Berkeley, CA, US
Constraining Ωm using galaxies
Galaxy Formation Group Meeting, Flatiron Institute, New York, NY, US
Talk, Galaxy Formation Group Meeting, Flatiron Institute, New York, NY, US
Obtaining cosmological information through machine learning
Gothamfest 2023, Simons Foundation, New York, NY, US
Coordinates:
Halo-galaxy connection and machine learning: an aerial view
II mini-Workshop on the halo-galaxy connection for the South American community, Universidad Técnica Federico Santa María, Santiago, Chile
Virtual presentation, II mini-Workshop on the halo-galaxy connection for the South American community, Universidad Técnica Federico Santa María, Santiago, Chile
Inferring cosmological parameters using galaxies
CAMELS Workshop, Simons Foundation, New York, NY, US
Coordinates:
Graph neural networks for robust parameter inference in cosmology: the first steps before real data
XLVI Reunião Anual da Sociedade Astronômica Brasileira, Planetário Rio, Rio de Janeiro, RJ, Brazil
Coordinates:
Obtaining cosmological covariance matrices with machine learning
XLV Reunião Anual da Sociedade Astronômica Brasileira, Virtual participation
Coordinates:
Improving cosmological covariance matrices with machine learning
AI in Astronomy, IAG, USP, São Paulo, SP, Brazil
Virtual talk, AI in Astronomy, IAG, USP, São Paulo, SP, Brazil
Improving cosmological covariance matrices using machine learning
Journal Club: Astronomical Observatory of Trieste, I.N.A.F., Trieste, Italy
Virtual talk, Journal Club: Astronomical Observatory of Trieste, I.N.A.F., Trieste, Italy
A machine learning suite to mimic the halo-galaxy connection
International Conference on Machine Learning for Astrophysics - ML4Astro, Virtual participation - Catania, Italy
Coordinates:
Using machine learning to mimic the halo-galaxy connection
Group Meeting: Prof. Francesco Shankar, University of Southampton, Southampton, UK
Virtual talk, Group Meeting: Prof. Francesco Shankar, University of Southampton, Southampton, UK
First steps in the obtation of the cosmological parameters using denoised cosmological covariance matrices
Astrocientistas I: Encontro Brasileiro de Meninas e Mulheres da Astrofísica, Gravitação e Cosmologia, Virtual meeting
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Improving Covariance Matrices using Machine Learning
Latin American Workshop on Observational Cosmology, Virtual meeting
Coordinates:
Improving covariance matrices using machine learning
Latin American Workshop on Observational Cosmology, International Centre for Theoretical Physics (ICTP) & South American Institute for Fundamental Research (SAIFR), São Paulo, SP, Brazil
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Observer dependence in the particle concept and the Unruh Effect
XIII Semana de Física (XIII SeFís), Federal University of São Carlos, São Carlos, SP, Brazil
Poster presentation, XIII Semana de Física (XIII SeFís), Federal University of São Carlos, São Carlos, SP, Brazil
Regularization techniques in the Casimir effect
V Semana Integrada do Instituto de Física de São Carlos (SIFSC 5), University of São Paulo, São Carlos, SP, Brazil
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Numerical studies on the classical and quantum harmonic oscillator
IV Semana Integrada do Instituto de Física de São Carlos (SIFSC 4), University of São Paulo, São Carlos, SP, Brazil
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Synthesis and characterization of BaTi0.9Zr0.1O3 powders
20 Simpósio Internacional de Iniciação Científica (XX SIICUSP), University of São Paulo, São Paulo, SP, Brazil
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Development of a magnetic levitation system
XIX Congresso de Iniciação Científica da UFSCar (XIX CIC), Federal University of São Carlos, São Carlos, SP, Brazil
Poster presentation, XIX Congresso de Iniciação Científica da UFSCar (XIX CIC), Federal University of São Carlos, São Carlos, SP, Brazil