Dr. Daniel Romero Yianni

Assistant Professor

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Biography

Daniel Caleb Romero Yianni is a PhD student specializing in Protein Immunoinformatics at the Technical University of Denmark (DTU). His research focuses on the development and optimization of molecular binders, utilizing AI-based strategies to analyze fitness landscapes for enhanced performance. He is currently involved in an active project aiming to deliver insights and generate reports with an emphasis on service usage and information extraction. His work integrates various aspects of bioinformatics and computational methods to improve understanding in the field.

Research Interests

Protein Immunoinformatics Molecular Binders Artificial Intelligence Fitness Landscape Optimization

Experience

PhD Student

2025-05-15 — 2028-05-14

Technical University of Denmark (DTU) • Kgs. Lyngby, Denmark

Pursuing a PhD in Protein Immunoinformatics, focusing on AI-based molecular binders and fitness landscape optimization.

Requirements for Technical University of Denmark

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:88
Prerequisites
Bachelor of Science in Engineering or equivalent Strong background in Mathematics and Physics
Application Checklist
  • Official Bachelor's degree diploma
  • Official transcripts of records
  • Statement of purpose
  • Curriculum Vitae (CV)
  • Documentation of English proficiency
  • Copy of passport
Specialization Notes

This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.