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Matias Gerardo Carrasco Kind

Director Data Science Research Services

University of Illinois Urbana Champaign

Champaign, Estados Unidos

Líneas de Investigación


I specialize in multidisciplinary data science, focusing on machine/deep learning, AI, visualization, image processing, software/cloud development, and data mining. My work spans astronomy, finance, Earth sciences, bio-imaging, agriculture, and more.

Educación

  •  Astrophysics, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2005
  •  Astrophysics, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN. Estados Unidos, 2011
  •  Astrophysics + Computer Science and Engineering, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN. Estados Unidos, 2014

Experiencia Académica

  •   Research Professor Full Time

    UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN

    Business

    Champaign, Estados Unidos

    2021 - At present

  •   Director Data Science Research Services Full Time

    UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN

    Business

    Estados Unidos

    2021 - At present

  •   Research Professor Other

    UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN

    Astronomy

    Estados Unidos

    2018 - At present

  •   Research Professor Other

    UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN

    National Center for Supercomputing Applications

    Estados Unidos

    2021 - At present

  •   Senior Research Scientist Full Time

    UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN

    National Center for Supercomputing Applications

    Estados Unidos

    2014 - 2021

  •   Adjunct Professor Part Time

    UNIVERSIDAD ANDRES BELLO

    Physics

    Chile

    2008 - 2010

  •   IMPRS PhD Student Full Time

    MAX-PLANCK INSTITUT FUR ASTROPHYSIK

    Astrophysics

    Alemania

    2006 - 2008


 

Article (25)

AGNet: weighing black holes with deep learning
Detection, instance segmentation, and classification for astronomical surveys with deep learning (<sc>deepdisc</sc>): <sc>detectron2</sc> implementation and demonstration with Hyper Suprime-Cam data
DeepZipper: A Novel Deep-learning Architecture for Lensed Supernovae Identification
A machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest
Dark Energy Survey Year 3 Results: Photometric Data Set for Cosmology
Extended Isolation Forest
GHOST: Using Only Host Galaxy Information to Accurately Associate and Distinguish Supernovae
Survey2Survey: a deep learning generative model approach for cross-survey image mapping
Probabilistic cosmic web classification using fast-generated training data
An Extended Catalog of Galaxy-Galaxy Strong Gravitational Lenses Discovered in DES Using Convolutional Neural Networks
easyaccess: Enhanced SQL command line interpreter for astronomical surveys
Enabling real-time multi-messenger astrophysics discoveries with deep learning
Finding high-redshift strong lenses in DES using convolutional neural networks
Transfer learning for galaxy morphology from one survey to another
Batch and online anomaly detection for scientific applications in a Kubernetes environment
The Dark Energy Survey Image Processing Pipeline
The Dark Energy Survey: Data Release 1
Vizic: A Jupyter-based interactive visualization tool for astronomical catalogs
Galaxy clustering with photometric surveys using PDF redshift information
A hybrid ensemble learning approach to star-galaxy classification
Exhausting the information: novel Bayesian combination of photometric redshift PDFs
Photometric redshift analysis in the Dark Energy Survey Science Verification data
SOM<i>z</i>: photometric redshift PDFs with self-organizing maps and random atlas
Sparse representation of photometric redshift probability density functions: preparing for petascale astronomy
TPZ: photometric redshift PDFs and ancillary information by using prediction trees and random forests

ConferencePaper (1)

Scalable Research Infrastructure in a Business School Context: A Case Study of the Data Science Research Services
26
Matias Carrasco

Director Data Science Research Services

University of Illinois Urbana Champaign

Champaign, Estados Unidos

1
Alfredo Zenteno

Assistant Scientist

Cerro Tololo Inter-American Observatory

La Serena, Chile