Angela Castillo

a.castillo13@uniandes.edu.co

I am a Deep Learning Research Scientist at Animaj. Previously, I obtained my Ph.D. degree while I was a researcher at the Center for Research and Formation in Artificial Intelligence under the supervision of Prof. Pablo Arbeláez at Universidad de los Andes in Bogotá, Colombia. My research is focused on Generative Artificial Intelligence (Generative AI). Currently, I am working at the intersection of Vision Generation and Animation, exploring innovative ways to enhance the performance and applicability of these technologies. My interests are in Generative Models, Computer Vision, Deep Learning, and Artificial Intelligence.

In 2021, I did an internship at ETH Zürich under the supervision of Prof. Dr. Luc van Gool.

I have served as a reviewer at CVPR, ECCV, ICCV, MICCAI, and TPAMI.

Find out more about my research.

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Research

*Denotes equal contribution.

Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models

A. Castillo*, J. Kohler*, J.C. Pérez*, J.P. Pérez, A. Pumarola, B. Ghanem, P. Arbeláez, A. Thabet
In collaboration with GenAI Meta.

Project page

AAAI (2025)

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Kristen Grauman et al.
In collaboration with MetaAI.

Project page

CVPR (2024)

BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis

A. Castillo*, M. Escobar*, G. Jeanneret, A. Pumarola, P. Arbeláez, A. Thabet, A. Sanakoyeu
In collaboration with GenAI Meta.

Project page

ICCV Workshops - cv4metaverse (2023)

SEPAL: Spatial Gene Expression Prediction from Local Graphs

G. Mejia, P. Cárdenas, D. Ruiz, A. Castillo, P. Arbeláez

Project page

ICCV Workshops - CVAMD (2023)

Guarding the Guardians: Automated Analysis of Online Child Sexual Abuse

J. Puentes, A. Castillo, W. Osejo, Y. Calderón, V. Quintero, L. Saldarriaga, D. Agudelo, P. Arbeláez
ICCV Workshops - HADR (2023)

NTIRE 2022 image inpainting challenge: Report

A. Romero, A. Castillo, J. Abril-Nova, R. Timofte
In collaboration with ETH Zürich.

Project page

CVPR Workshops - NTIRE (2022)

Generalized Real-World Super-Resolution through Adversarial Robustness

A. Castillo*, M. Escobar*, J.C. Pérez, A. Romero, R. Timofte, L. Van Gool, P. Arbeláez
In collaboration with ETH Zürich.

Project page ・ Code

ICCV Workshops - AIM (2021)

SAMA: Spatially-Aware Multimodal Network with Attention for Early Lung Cancer Diagnosis

M. Roa, L. Daza, M. Escobar, A. Castillo, P. Arbeláez

Project page ・ Code

MICCAI Workshops (2021)

Smart Pooling: AI-powered COVID-19 testing

M. Escobar, G. Jeanneret, L. Bravo-Sánchez, A. Castillo, C. Gómez, D. Valderrama, M. F. Roa, J. Martínez, J. Madrid-Wolff, M. Cepeda, M. Guevara-Suarez, O. L. Sarmiento, A. L. Medaglia, M. Forero-Shelton, M. Velasco, J. M. Pedraza-Leal, S. Restrepo, P. Arbeláez

Project page

MedRxiv preprint (2020)

UltraGAN: Ultrasound Enhancement Through Adversarial Generation

M. Escobar*, A. Castillo*, A. Romero, P. Arbeláez
In collaboration with ETH Zürich.

Project page ・ Code

MICCAI Workshops - SASHIMI (2020)

LUCAS: LUng CAncer Screening with Multimodal Biomarkers

L. Daza, A. Castillo, M. Escobar, P. Arbeláez

Project page ・ Code

MICCAI Workshops - MLCDS (2020)

Experience

Animaj

Deep Learning Research Scientist

Algorithm development, empiric validation and scientific research paper writing..

August 2019 - October 2024

Universidad de Los Andes

Research Assistant

Algorithm development, empiric validation and scientific research paper writing, under the supervision of Prof. Pablo Arbeláez.

August 2019 - October 2024

ETH Zürich

Research Intern

Algorithm development, empiric validation and scientific research paper writing, under the supervision of Prof. Luc van Gool.

September 2021 - May 2022

Universidad de Los Andes

Teaching Assistant

Laboratory assistant of the undergraduate course: Analysis of Biomedical Imaging, under the supervision of Prof. Pablo Arbeláez.

January - June 2019

Universidad de Los Andes

Research Assistant

Development of generative models for biomedical data augmentation, lead by Ph.D. Andrés Romero Vergara and under the supervision of Prof. Pablo Arbeláez.

August - December 2018

Universidad de Los Andes

Junior Teaching Assistant
Laboratory teacher of the undergraduate course: Mathematical Principles in Medicine, under the supervision of Prof. José Ricardo Arteaga.
January - June 2018

Education

Universidad de Los Andes

Doctor in Philosophy
Engineering

Concentration: Computer Vision - Generative Adversarial Networks

January 2020 - October 2024

Universidad de Los Andes

Master's Degree
Biomedical Engineering

Concentration: Machine Learning and Computer Vision

August 2018 - December 2019

Universidad de Los Andes

Bachelor of Science
Biomedical Engineering

Concentration: Analysis of Biomedical Images and BioSignal Processing

August 2014 - June 2018

Awards

  • Swiss Government Excellence Scholarship awarded by the Federal Commission for Scholarships for Foreign Students (FCS)
  • CVPR 2021 Outstanding Reviewers Awards