Bryce Kille
4th Year Ph.D. student, big fan all things sequence analysis, high-performance computing, and discrete algorithms.
Bryce (4th year PhD student, Computer Science) received his MS in Bioinformatics and BS in Computer Science + Chemistry from the University of Illinois at Urbana-Champaign. As an undergraduate, he worked at Dow Agrosciences in both the computational biology and cheminformatics groups. His projects included developing software for phylogeny analysis and creating models for compound activity prediction. During his Master’s program, Bryce worked in a biochemistry lab developing software for genome mining (Schwalen et al., 2018) as well as a on research project for creating bit-wise algorithms for the C++ STL (BitLib). One of his main interests is casting biological and chemical problems into theoretical computer science questions.
As a PhD student, Bryce has worked on a range of sequence-analysis applications, such as genome alignment (Kille et al., 2023; Kille et al., 2024) and variant calling (Kille et al., 2021). Bryce is currently a NLM Biomedical Informatics predoctoral fellow (NIH grant T15LM007093).
References
2024
2023
- Minmers are a generalization of minimizers that enable unbiased local Jaccard estimationBioinformatics, 2023
2021
- Accelerating SARS-CoV-2 low frequency variant calling on ultra deep sequencing datasetsIn 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2021
2018
- Bioinformatic expansion and discovery of thiopeptide antibioticsJournal of the American Chemical Society, 2018