I am an experienced data science with a track record of enabling and conducting applied research with big data. My career has led to multidisciplinary partnerships with scientists, doctors, and policymakers on a range of real-world problems. Currently, I serve as the Director of Research and Technology for the not-for-profit organization Research Improving People's Lives.
I lead a data science team that has integrated over 800 data sets from government and the private sector into an anonymized and secure database for studying and improving public policy. When properly secured, anonymized, and optimized for research, administrative data can be put to work to help government programs better serve those in need.
The actual transmission network between HIV-infected individuals is unknown, but gene sequencing of new infections can reveal patterns of transmission. I serve as the bioinformatician on an NIH-funded project to implement new methods that analyze sequences from newly-infected cases to disrupt HIV transmission, with the ultimate goal of making Rhode Island the first state to get to zero new infections.
Modern gene sequencing technologies can monitor HIV infections with high precision and have the potential to improve and personalize drug therapies for treating HIV. I research methods for measuring drug resistance in HIV-infected individuals using gene sequencing. I also work with an international group of HIV researchers to recommend future standards for clinical applications of these methods.
I have a deep knowledge of the technological needs of researchers, drawing from my background in computer scientist, my practical experience, and my own research projects. Earlier in my career, I was the technical architect for a secure computing environment at Brown University that served over 150 researchers across 17 labs and centers in fields such as public policy, economics, public health, and biomedical informatics. I have also conducted performance studies on large computing clusters and developed methods for managing research software and tracking complex analyses of big data.
* = alphabetical author order
Howison M, Coetzer M, Kantor R. 2018. Measurement error and variant-calling in deep Illumina sequencing of HIV. Bioinformatics: bty919. doi:10.1093/bioinformatics/bty919
Ji H, Enns E, Brumme CJ, Parkin N, Howison M, et al. 2018. Bioinformatic data processing pipelines in support of next‐generation sequencing‐based HIV drug resistance testing: the Winnipeg Consensus. Journal of the International AIDS Society 21(10): e25193. doi:10.1002/jia2.25193
* Hastings JS, Howison M, Lawless T, Ucles J, White P. 2018. Integrating Administrative Data for Policy Insights. OSF Preprints: hdv3c.
Guang A, Howison M, et al. 2017. Preserving Intra-Patient Variance Improves Phylogenetic Inference of HIV Transmission Networks. Poster presented at the 24th International HIV Dynamics & Evolution, 23-26 May 2017, Scotland, UK.
Howison M, Bethel EW. 2017. GPU-accelerated denoising of 3D magnetic resonance images. Journal of Real-Time Image Processing 13(4): 713-724. doi:10.1007/s11554-014-0436-8
Berenbaum D, Deighan D, Marlow T, Lee A, Frickel A, Howison M. 2016. Mining Spatio-temporal Data on Industrialization from Historical Registries. arXiv: 1612.00992
Guang A, Zapata F, Howison M, Lawrence CE, Dunn CW. 2016. An Integrated Perspective on Phylogenetic Workflows. Trends in Ecology & Evolution 31(2): 116-126. doi:10.1016/j.tree.2015.12.007
Zapata F, Goetz F, Smith S, Howison M, et al. 2015. Phylogenomic Analyses Support Traditional Relationships within Cnidaria. PLOS ONE 10(10): e0139068. doi:10.1371/journal.pone.0139068
Zapata F, Wilson NG, Howison M, et al. 2014. Phylogenomic analyses of deep gastropod relationships reject Orthogastropoda. Proc. R. Soc. B 281(1794): 20141739. doi:10.1098/rspb.2014.1739
Howison M, Zapata F, Edwards EJ, Dunn CW. 2014. Bayesian Genome Assembly and Assessment by Markov Chain Monte Carlo Sampling. PLoS ONE 9(6): e99497. doi:10.1371/journal.pone.0099497
Dunn CW, Howison M, Zapata F. 2013. Agalma: an automated phylogenomics workflow. BMC Bioinformatics 14(1): 330. doi:10.1186/1471-2105-14-330
Howison M, Shen A, Loomis A. 2013. Building Software Environments for Research Computing Clusters. In Proceedings of the 27th Large Installation System Administration Conference (LISA '13), 3-8 November 2013, Washington, DC, USA. [website]
Bethel EW, Howison M. 2012. Multi-core and many-core shared-memory parallel raycasting volume rendering optimization and tuning. International Journal of High Performance Computing Applications 26(4): 399-412. doi:10.1177/1094342012440466
Howison M, Sinnott-Armstrong NA, Dunn CW. 2012. BioLite, a lightweight bioinformatics framework with automated tracking of diagnostics and provenance. In Proceedings of the 4th USENIX Workshop on the Theory and Practice of Provenance (TaPP '12), 14-15 June 2012, Boston, MA, USA. [website]
Howison M, Bethel EW, Childs H. 2012. Hybrid Parallelism for Volume Rendering on Large-, Multi-, and Many-Core Systems. IEEE Transactions on Visualization and Computer Graphics 18(1): 17-29. doi:10.1109/TVCG.2011.24
Howison M, Trninic D, Reinholz D, Abrahamson D. 2011. The Mathematical Imagery Trainer: From Embodied Interaction to Conceptual Learning. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11), pp. 1989-1998, 7-12 May 2011, Vancouver, BC, Canada. doi:10.1145/1978942.1979230
Childs H, Pugmire D, Ahern S, Whitlock B, Howison M, Prabhat, Weber GH, Bethel EW. 2010. Extreme Scaling of Production Visualization Software on Diverse Architectures. IEEE Computer Graphics and Applications 30(3): 22-31. doi:10.1109/MCG.2010.51
Uselton A, Howison M, Wright NJ, Skinner D, Keen N, Shalf J, Karavanic KL, Oliker L. 2010. Parallel I/O performance: From events to ensembles. In Proceedings of the 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS), 19-23 April 2010, Atlanta, GA, USA. doi:10.1109/IPDPS.2010.5470424
Howison M, Séquin CH. 2009. CAD Tools for the Construction of 3D Escher Tiles. Computer-Aided Design and Applications 6(6): 737-748. doi:10.3722/cadaps.2009.737-748