Mena Khalaf

Antimicrobial Peptide Discovery

Computational methods for discovering and designing antimicrobial peptides using bioinformatics and AI.

Machine Learning for Peptides & Proteins

ML algorithms for peptide and protein classification, sequence analysis, and function prediction.

Computational Biology & Bioinformatics

Bioinformatics workflows, BLAST, sequence alignment, clustering, annotation, and biological data analysis.

Generative AI for Biological Sequences

Generative models including GANs for biological sequence design and de novo molecular generation.

Protein & Peptide Modeling

3D structure prediction, protein modeling, molecular docking, and structural analysis.

AI-Driven Drug Discovery

Molecular design, virtual screening, and AI-driven approaches to drug discovery.

Data-Driven Biological Research

Data analysis, visualization, and data science approaches to biological research.

Programming

• Python, R, MATLAB
• C, C++, Java, C#

Machine Learning & AI

• PyTorch, TensorFlow, Keras
• Scikit-learn

Bioinformatics & Data Science

• Bioinformatics workflows: BLAST, clustering, annotation
• Biological sequence analysis
• Data analysis and visualization
• Jupyter

Computational & Molecular Modeling

• ColabFold, StarPep, UCSF Chimera
• MOE
• Molecular docking

Databases

• MySQL, SQL, MongoDB

Web Development

• HTML, CSS, JavaScript
• PHP, Laravel, Bootstrap
• ASP.NET

BTC Conference 2025

Research presentation

BTC Conference 2026

Research presentation

ICACG

Research presentation / Poster Blitz Communication

MCEB

Research poster

Bioinformatics Open Days

Research presentation/poster

EPICURE Hackathon

HPC and computational biology activity

Invited Seminar

University of Porto / CIIMAR — ML in Computational Genomics and Bioinformatics