Projects per year
Personal profile
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Research Interests
Data science, Bioinformatics, Computational Biology, Population Genetics, Genomics
Area of Expertise
Dr. August Woerner's research interests are generally in the areas of computation and population genetics, with a focus in forensics, bioinformatics and machine learning. August’s current research projects run the gamut from streamlining bioinformatics pipelines—making them faster and more user friendly—to machine learning and statistical approaches to processing and calling MPS data, to inference problems in population genetics and genomics.
Techniques
Many of the tools I use and develop are inferential and typically are either classical (maximum likelihood or Bayesian inference) or modern (typically, machine learning).
Education/Academic qualification
MS in Computer Science, University of Arizona
PhD in Genetics, University of Arizona
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Collaborations and top research areas from the last five years
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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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Better algorithms and chemistry for mixture interpretation
Woerner, A. (PI) & Budowle, B. (CoI)
NIJ: National Institute of Justice
1/01/19 → 30/06/21
Project: Research
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Development of a Mitochondrial Mixture Database and Interpretation Tool
Budowle, B. (PI) & Woerner, A. (CoI)
NIJ: National Institute of Justice
1/01/18 → 31/12/19
Project: Research
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Reducing Human Trafficking Through Forensics in Central America
Budowle, B. (PI) & Woerner, A. (CoI)
US Department of State Bureau of INL
20/09/17 → 20/09/18
Project: Research
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Exploring the 1000 Genomes Project haplotype reporting for the CYP2D6 pharmacogene
Wendt, F. R., Woerner, A. E., Sajantila, A., Moura-Neto, R. S. & Budowle, B., 1 May 2019, In: International journal of legal medicine. 133, 3, p. 807-810 4 p.Research output: Contribution to journal › Letter › peer-review
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Modeling SNP array ascertainment with Approximate Bayesian Computation for demographic inference
Quinto-Cortés, C. D., Woerner, A. E., Watkins, J. C. & Hammer, M. F., 1 Dec 2018, In: Scientific Reports. 8, 1, 10209.Research output: Contribution to journal › Article › peer-review
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Population Informative Markers Selected Using Wright's Fixation Index and Machine Learning Improves Human Identification Using the Skin Microbiome
Sherier, A. J., Woerner, A. E. & Budowle, B., Sep 2021, In: Applied and Environmental Microbiology. 87, 20, p. 1-14 14 p.Research output: Contribution to journal › Article › peer-review
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Evaluation of Promega PowerSeq™ Auto/Y systems prototype on an admixed sample of Rio de Janeiro, Brazil: Population data, sensitivity, stutter and mixture studies
Moura-Neto, R., King, J. L., Mello, I., Dias, V., Crysup, B., Woerner, A. E., Budowle, B. & Silva, R., Jul 2021, In: Forensic Science International: Genetics. 53, 102516.Research output: Contribution to journal › Article › peer-review
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Expanding beyond the current core STR loci: An exploration of 73 STR markers with increased diversity for enhanced DNA mixture deconvolution
Novroski, N. M. M., Wendt, F. R., Woerner, A. E., Bus, M. M., Coble, M. & Budowle, B., Jan 2019, In: Forensic Science International: Genetics. 38, p. 121-129 9 p.Research output: Contribution to journal › Article › peer-review