Academic Achievements

Education, Certifications & Recognition

Education

Ph.D. in Bioinformatics

Barcelona Supercomputing Center, Spain

📅 2012 - 2017

Graduated with Cum laude honors. Research focused on protein structure prediction using machine learning approaches and computational biology methods.

M.Sc. in Biochemical Sciences

National Autonomous University of Mexico

📅 2008 - 2011

Advanced studies in biochemical sciences with focus on molecular biology and computational approaches to biological problems.

📖 B.Sc. in Science

Autonomous University of Morelos, Mexico

📅 2003 - 2008

Undergraduate degree providing foundational scientific knowledge across multiple disciplines including biology, chemistry, and mathematics.

Certifications & Credentials

🏆

NVIDIA Ambassador

Recognized technical leader advancing GPU computing, CUDA programming, and AI/ML solutions in the scientific community.

👨‍🏫

The Carpentries Instructor

Certified instructor authorized to teach foundational data, software, and library skills to research communities worldwide.

🎯

NVIDIA Model Parallelism

Building and deploying large neural networks using advanced model parallelism techniques on NVIDIA GPU infrastructure.

📊

Fundamentals of Accelerated Data Science

NVIDIA certification in GPU-accelerated data science workflows, RAPIDS library, and high-performance analytics.

🤖

Generative Adversarial Networks (GANs)

DeepLearning.AI specialization covering GAN architectures, training techniques, and applications in image generation.

☸️

Google Kubernetes Engine

Coursera certification in container orchestration, deploying applications, and managing scalable cloud infrastructure.

Awards & Honors

💰 KAUST AI Initiative Grant

KAUST, Saudi Arabia

Secured USD $112k exploratory research grant for data generation, curation, AI development and testing for protein-protein interaction prediction project.

📅 2020

🏅 National Researchers System Member

CONACYT, Mexico

Recognition as member of Mexico's National Researchers System for outstanding contributions to scientific research and development.

📅 2018

🎓 Ph.D. Cum Laude

Universitat de Barcelona, Spain

Awarded highest honors (Cum laude) for doctoral dissertation in Bioinformatics on protein structure prediction and machine learning.

📅 2017

📢 Scientific Communication Award

"Somos Científicos, Sácanos de Aquí", Spain

Recognized for excellence in science communication and public engagement in explaining complex scientific concepts to general audiences.

📅 2016

⭐ CONACYT International Scholarship

CONACYT, Mexico

Prestigious international scholarship for development of highly qualified professionals, supporting doctoral studies in Spain.

📅 2012

Publications & Research

📄 Coral-CAT: A semi-automatic coral color analysis tool

Authors: N. Garcias-Bonet, D. Barradas, M. Casartelli, A. Halimi, R. Peixoto

Published in: Coral Reefs • Year: 2025

A semi-automatic tool for analyzing coral color patterns using advanced image processing techniques.

📎 View on Google Scholar

📄 ForamDeepSlice: A High-Accuracy Deep Learning Framework

Authors: A. Halimi, A. Alibrahim, D. Barradas, R. Sicat, A. M. Afifi

Published in: arXiv • Year: 2025

Deep learning framework for foraminifera species classification from 2D Micro-CT slices with high accuracy.

📎 View on Google Scholar

📄 Increasing the fraction of correct solutions in protein-protein docking

Authors: T. Ricciardelli, D. Barradas, Z. Cao, M. Chawla, L. Cavallo, R. Oliva

Published in: Protein Science • Year: 2025

Novel iterative consensus algorithm to improve protein-protein docking model accuracy.

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📄 Optimizing GAN Training for 3D Seismic Microstructure Generation

Authors: Y. Ghazal, M. Awadalla, D. Barradas, A. Ayyad, A. Nasr, S. Ghani

Published in: Eighth High Performance Computing Workshop • Year: 2024

Advanced GAN training optimization for generating 3D seismic microstructure data.

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📄 Comparative Analysis of Super-Resolution Techniques in Micro-CT Imaging

Authors: M. Awadalla, Y. Ghazal, D. Barradas, A. Ayyad, A. Nasr, S. Ghani

Published in: Eighth High Performance Computing Workshop • Year: 2024

Systematic analysis of super-resolution techniques for enhancing micro-CT imaging quality.

📎 View on Google Scholar

📄 Impact of AlphaFold on Structure Prediction of Protein Complexes

Authors: Lensink, M.F., Brysbaert, G., ..., Barradas-Bautista, D., et al.

Published in: Proteins: Structure, Function, and Bioinformatics • Year: 2023

Community-wide assessment of AlphaFold's impact on protein complex structure prediction (CASP15-CAPRI).

📎 View on Google Scholar

📄 Discriminating physiological from non-physiological interfaces

Authors: Schweke, H., Tauriello, G., ..., Barradas-Bautista, D., et al.

Published in: Proteomics • Year: 2023

Community-wide study on discriminating physiological from non-physiological protein complex interfaces.

📎 View on Google Scholar

📄 The LightDock Server: AI-powered modeling of macromolecular interactions

Authors: Jiménez-García, B., Roel-Touris, J., Barradas-Bautista, D.

Published in: Nucleic Acids Research • Year: 2023

AI-powered web server for modeling macromolecular interactions using advanced docking algorithms.

📎 View on Google Scholar

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Additional Credentials

👥 Professional Memberships

  • NVIDIA Deep Learning Institute (DLI) University Ambassador
  • Certified Instructor from Deep Learning Institute
  • Certified Instructor from The Carpentries
  • International Society of Computational Biology (ISCB)

🎯 Languages

  • Spanish - Native
  • English - Fluent

📋 Computer Skills

  • Programming: Python, R, Julia, Bash
  • ML/DL: PyTorch, TensorFlow, Scikit-learn, XGBoost
  • HPC: RAPIDS, pySpark, Dask, CUDA
  • Data Viz: Seaborn, Matplotlib, Plotly, Streamlit
  • Tools: Git, Docker, Linux, LaTeX

Learn More About My Work

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