Dan DeBlasio

Chemistry and Computer Science Building
El Paso Texas, 79968
Phone Logo(915) 747-6110
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Dan F DeBlasio
Assistant Professor, Computer Science

Dr. DeBlasio comes to UTEP with a background in computational biology and machine learning, specifically in the areas of algorithm configuration, high-throughput genomics, and string hashing schemes. Prior to UTEP, he was at Carnegie Mellon University, where he was a Lane Fellow in the School of Computer Science for the last three years. The fellows program is known for supporting scientists who are dedicated to a career at the interface of computational and biological sciences. Dr. DeBlasio earned a doctoral degree in computer science from the University of Arizona. His research focuses on reducing false predictions made by analysis software, by optimizing algorithm parameters. He recently published, Parameter Advising for Multiple Sequence Alignment, a book in the Springer Computational Biology series. He is member of the International Society for Computational Biology (ISCB), and recently completed serving on the ISCB Board of Directors. His term on the board brought upon numerous speaking engagements, empowering tomorrow’s leaders in computational science. He was most recently invited to the Toyota Technical Institute in Chicago to discuss automated algorithm design. Dr. DeBlasio's work, and the work of his students, can be found on his website, http://deblasiolab.org.


  1. Computational Biology
  2. Computer Science
  3. Bioinformatics
  4. Machine Learning
  5. Algorithm Configuration
  6. Parameter Selection