Dr. Dan Deblasio

Assistant Professor

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Biography

Dan DeBlasio is an Assistant Teaching Professor in the Computational Biology Department at Carnegie Mellon University. His research focuses on the intersection of computational biology and bioinformatics, particularly the development of algorithms for understanding complex biological systems. He has contributed to various studies analyzing microRNA roles in cancer progression and developing efficient computational tools for sequence alignment and bioinformatics analysis. DeBlasio's work leverages machine learning approaches and locality-sensitive hashing techniques to optimize algorithm performance in biological data processing. With several publications in renowned journals, he actively engages in community outreach and mentorship programs within the computational biology field. His contributions aim to enhance educational practices and foster the next generation of leaders in bioinformatics and computational biology. He is committed to bridging gaps in the computational biology community through collaborative efforts and knowledge-sharing.

Research Interests

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.