Denis Willett

Denis Willett

Phone: Email: dswillet@ncsu.edu Orcid: http://orcid.org/0000-0001-5351-7917

Biography

Denis joined NCICS in 2021 as a software engineer contributing to the NOAA Open Data Dissemination Program. His work focuses on leveraging cloud technologies for the development of data processing and machine learning pipelines. Prior to NCICS, he developed analytics and machine learning pipelines as faculty at Cornell University and as a data scientist across roles in industry, academia, and the federal government. Denis did his PhD in Entomology and Nematology at University of Florida and his undergraduate and masters work in Earth Systems at Stanford University.

Denis specializes in designing and deploying full-stack, cloud-native data science solutions to intractable technical problems across domains. At NCICS, Denis works on petabyte scale multi-cloud data transfer pipelines, creating pipelines to furnish analytics-ready environmental data, and building production machine learning platforms applying MLOps principles to automate model development and deployment. Previous work has involved expanding the capabilities of scientific instrumentation using machine learning and optimization, building prediction platforms that materials science engineers could use to leverage machine learning for better product design, scaling IOT ingest and analytics pipelines, implementing workforce development plans for data science teams, and strategic positioning planning for bioinformatics companies.

A key component of this and previous work has been technical advocacy in organizations adopting machine learning and cloud technologies. In working with and advising start-ups, Fortune 500 companies, Government Agencies, and Universities, architecting change from the C-Suite to the technical teams has been a priority with efforts focused on education, opportunity, and capacity building. A key part of this is building and leading diverse teams to implement change at the strategic and technical level.

Publications

2021: Agnello, A. M., Combs, D. B., Filgueiras, C. C., Willett, D. S., & Mafra-Neto, A. (2021). Reduced Infestation by Xylosandrus germanus (Coleoptera: Curculionidae: Scolytinae) in Apple Trees Treated with Host Plant Defense Compounds. Journal of Economic Entomology, 114(5), 2162-2171. https://doi.org/10.1093/jee/toab153 Barrett, M. R., Filgueiras, C. C., & Willett, D. S. (2021). Using Cucumis sativus, Acalymma vittatum, Celatoria setosa, and generalist pollinators as a case study for plant–insect interactions. Arthropod-Plant Interactions, 15(5), 637-644.https://doi.org/10.1007/s11829-021-09852-2 Filgueiras, C. C., & Willett, D. S. (2021). Non-lethal effects of entomopathogenic nematode infection. Scientific Reports, 11(1), 1-8. https://doi.org/10.1038/s41598-021-96270-2 Pereira, R. V., Filgueiras, C. C., Dória, J., Peñaflor, M. F. G., & Willett, D. S. (2021). The effects of biostimulants on induced plant defense. Frontiers in Agronomy, 45. https://doi.org/10.3389/fagro.2021.630596 2020 Crandall, S. G., Gold, K. M., Jiménez-Gasco, M. D. M., Filgueiras, C. C., & Willett, D. S. (2020). A multi-omics approach to solving problems in plant disease ecology. PloS one, 15(9), e0237975.https://doi.org/10.1371/journal.pone.0237975 Pereira, R. V., Filgueiras, C. C., Willett, D. S., & Peñaflor, M. F. G. V. (2020). Sight unseen: Belowground feeding influences the distribution of an aboveground herbivore. Ecosphere, 11(9), e03163. https://doi.org/10.1002/ecs2.3163 Willett, D. S., Filgueiras, C. C., Nyrop, J. P., & Nault, B. A. (2020). Attract and kill: spinosad containing spheres to control onion maggot (Delia antiqua). Pest Management Science, 76(8), 2720-2725. https://doi.org/10.1002/ps.5818 Willett, D. S., Filgueiras, C. C., Nyrop, J. P., & Nault, B. A. (2020). Field monitoring of onion maggot (Delia antiqua) fly through improved trapping. Journal of Applied Entomology, 144(5), 382-387.https://doi.org/10.1111/jen.12740 Willett, D. S., Filgueiras, C. C., Benda, N. D., Zhang, J., & Kenworthy, K. E. (2020). Sting nematodes modify metabolomic profiles of host plants. Scientific Reports, 10(1), 1-10.https://doi.org/10.1038/s41598-020-59062-8 2019 Stelinski, L. L., Willett, D., Rivera, M. J., & Ali, J. G. (2019). ‘Tuning’communication among four trophic levels of the root biome to facilitate biological control. Biological Control, 131, 49-53.https://doi.org/10.1016/j.biocontrol.2019.01.006 Filgueiras, C. C., Martins, A. D., Pereira, R. V., & Willett, D. S. (2019). The ecology of salicylic acid signaling: primary, secondary and tertiary effects with applications in agriculture. International journal of molecular sciences, 20(23), 5851.https://doi.org/10.3390/ijms20235851 2018 Willett, D. S., Alborn, H. T., Stelinski, L. L., & Shapiro-Ilan, D. I. (2018). Risk taking of educated nematodes. Plos one, 13(10), e0205804.https://doi.org/10.1371/journal.pone.0205804 Halbritter, D. A., Willett, D. S., Gordon, J. M., Stelinski, L. L., & Daniels, J. C. (2018). Behavioral evidence for host transitions in plant, plant parasite, and insect interactions. Environmental entomology, 47(3), 646-653.https://doi.org/10.1093/ee/nvy033 Christensen, S. A., Huffaker, A., Sims, J., Hunter, C. T., Block, A., Vaughan, M. M., ... & Schmelz, E. A. (2018). Fungal and herbivore elicitation of the novel maize sesquiterpenoid, zealexin A4, is attenuated by elevated CO2. Planta, 247(4), 863-873. https://doi.org/10.1007/s00425-017-2830-5 Christensen, S. A., Sims, J., Vaughan, M. M., Hunter, C., Block, A., Willett, D., ... & Schmelz, E. A. (2018). Commercial hybrids and mutant genotypes reveal complex protective roles for inducible terpenoid defenses in maize. Journal of experimental botany, 69(7), 1693-1705. https://doi.org/10.1093/jxb/erx495 Hunter, C. T., Saunders, J. W., Magallanes‐Lundback, M., Christensen, S. A., Willett, D., Stinard, P. S., ... & Koch, K. E. (2018). Maize w3 disrupts homogentisate solanesyl transferase (ZmHst) and reveals a plastoquinone‐9 independent path for phytoene desaturation and tocopherol accumulation in kernels. The Plant Journal, 93(5), 799-813. https://doi.org/10.1111/tpj.13821