Personal profile
Research Interests
Bioinformatics, Genomics
Area of Expertise
Dr. Crysup employs mathematics and computation to create and improve algorithms and software for genetic analysis, with a focus on forensic applications.
His focus is on pushing the limits of analysis of genetic data through careful theoretical analysis, statistical techniques and software engineering.
Recent examples include using machine learning to filter erroneous alleles from forensic loci and the development of a novel method for genotyping in the presence of mixtures.
Education/Academic qualification
Ph.D. in Scientific Computation, Florida State University
B.S. in Chemical Engineering, University of Texas at Austin
B.S. in Computer Science, University of Texas at Austin
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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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Democratizing Investigative Ge
Woerner, A. (PI), Coble, M. (CoI) & Crysup, B. (CoI)
NIJ: National Institute of Justice
1/01/24 → 31/12/25
Project: Research
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Graph algorithms for mixture interpretation
Crysup, B., Woerner, A. E., King, J. L. & Budowle, B., Jan 2021, In: Genes. 12, 2, 185.Research output: Contribution to journal › Article › peer-review
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A genotype likelihood function for DNA mixtures
Crysup, B. & Woerner, A. E., Nov 2022, In: Forensic Science International: Genetics. 61, 102776.Research output: Contribution to journal › Article › peer-review
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ProDerAl: Reference position dependent alignment
Crysup, B., Budowle, B. & Woerner, A. E., 15 Aug 2021, In: Bioinformatics. 37, 16, p. 2479-2480 2 p.Research output: Contribution to journal › Article › peer-review
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Identifying distant relatives using benchtop-scale sequencing
Woerner, A. E., Novroski, N. M., Mandape, S., King, J. L., Crysup, B. & Coble, M. D., Mar 2024, In: Forensic Science International: Genetics. 69, 103005.Research output: Contribution to journal › Article › peer-review
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Reliable estimates of error in self-diffusivity from molecular simulations using statistical bootstrap
Crysup, B. & Shanbhag, S., 2019, In: Journal of Computational Methods in Sciences and Engineering. 19, 2, p. 387-405 19 p.Research output: Contribution to journal › Article › peer-review