About Me

PhD Researcher in Bioinformatics & Computational Biology

I am a PhD researcher at the University of Porto / CIIMAR, specializing in bioinformatics and computational biology. My research focuses on applying machine learning and artificial intelligence techniques to biological sequence analysis, with particular emphasis on antimicrobial peptide discovery and drug design.

My work bridges the gap between computational methods and biological applications, developing scalable workflows for protein modeling, sequence analysis, and generative AI approaches to biological problems.

Professional Experience

Research Assistant

University of Porto · CIIMAR · Porto, Portugal · Nov 2024 – Present

Exploring macroalgae potential for sustainable applications using AI, ML, and bioinformatics. Developing digital toolboxes for macroalgae analysis and transforming seaweed residuals into high-value antimicrobials as part of the iCULTURE project.

Doctoral Candidate / PhD Researcher

University of Porto · FCUP · CIIMAR · Porto, Portugal · Nov 2024 – Present

Research part of the iCULTURE project, focusing on harnessing macroalgae potential through AI and machine learning. Integrating bioinformatics and advanced biotechnological methods.

Assistant Lecturer

Faculty of Computers and Information, Assiut University · Full-time · Jan 2024 – Nov 2024

Teaching Bioinformatics, Computational Biology, Data Science, and Computer Sciences courses. Research focus on Bioinformatics, Data Science, drug design, protein-protein interaction, protein design, Deep Learning, and Machine Learning.

Teaching Assistant

Assiut University · Full-time · Feb 2020 – Dec 2023

Academic support for Information Systems, Bioinformatics, Data Science, Big Data, Deep Learning, and Machine Learning courses.

Education

M.Sc. in Computers and Information (Information Systems)

Assiut University, 2023

Dissertation: 'Prediction of Molecular Compound Structures using Deep Learning' (Portuguese scale: 18/20)

B.Sc. in Computers and Information (Information Systems)

Assiut University, 2019

GPA: 3.74 out of 4.00 (Excellent A-), Top rank in the batch over four years and eight semesters (Portuguese scale: 18/20)

Graduation Project: Developed 'RTM (Rent To Me),' an e-commerce breakthrough blending advanced categorization, reviewer analysis, and AI recommendations (Portuguese scale: 18/20)

Technical Expertise

Programming

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

Machine Learning & AI Frameworks

  • PyTorch, TensorFlow, Keras
  • Scikit-learn, Matplotlib

Bioinformatics & Data Science

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

Computational & Molecular Modeling Tools

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

Databases

  • MySQL, SQL
  • MongoDB

Web Development

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

Academic Profile

My research contributes to the growing field of AI-driven bioinformatics, focusing on practical solutions for biological challenges. I'm particularly interested in antimicrobial peptide discovery, where computational methods can significantly accelerate the development of new therapeutic agents.

With a strong foundation in both computer science and biological sciences, I work at the intersection of these disciplines, developing computational frameworks that can handle complex biological data and extract meaningful insights using machine learning techniques.