Profile picture

Cory J Kromer-Edwards

I am a Computer Science PhD graduate focusing on the crossroads between bioinformatics and Machine Learning.

I am interested in bridging genetics with machine learning and artificial intelligence to improve current algorithms and create new ones. Additionally, I want to apply these techniques to better hospitals and ultimately improve overall human health. By answering difficult questions in genetics research and leveraging the power of machine learning and AI, we can advance medical research and improve patient outcomes.

Follow my ResearchGate, Github, or LinkedIn profiles to follow my work beyond my PhD studies.

About me

General Information

Location

Department of Computer Science, 14 MLH
The University of Iowa
Iowa City, IA 52242-1419
USA

Contact

Email: cory-edwards@uiowa.edu
Linkedin: Cory Kromer-Edwards
Github: 14corman
ResearchGate: Cory Kromer-Edwards

Ongoing research projects

Publications

  1. Kromer-Edwards, Cory, and Suely Oliveira. "Finding, and Countering, Future Resistance Using Bacterial Antibiotic Adversarial Genetic Algorithm (BAAGA)." 2023 International Joint Conference on Neural Networks (IJCNN), June 2023. Accepted.
  2. Kromer-Edwards, Cory, Mariana Castanheira, and Suely Oliveira. "Using Feature Selection to Predict MIC Values with Neural Networks." 2023 International Joint Conference on Neural Networks (IJCNN), June 2023. Accepted.
  3. Kromer-Edwards, Cory, Mariana Castanheira, and Suely Oliveira. "K-Mer Fingerprinting with RNN to Predict Mics for K. Pneumoniae." 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. https://doi.org/10.1109/bibm55620.2022.9995374.
  4. C. Kromer-Edwards, M. Castanheira and S. Oliveira, "Year, Location, and Species Information In Predicting MIC Values with Beta-Lactamase Genes," in 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, Korea (South), 2020 pp. 1383-1390. doi: 10.1109/BIBM49941.2020.9313331
  5. C. Kromer-Edwards, J. Neubaum, S. Oliveira, C. Smith, E. Walser-Kuntz and A. West, "Identifying Beta-Lactam Resistance with Neural Networks," 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, CA, USA, 2019, pp. 1324-1330, doi: 10.1109/BIBM47256.2019.8983058.
  6. Seifert, L.S., Kaelber, K., Flaherty, K. et al. Using online resources in health co-inquiry: A bifurcated method for analyzing stakeholder narratives. Curr Psychol 38, 1772–1788 (2019). https://doi.org/10.1007/s12144-019-00474-9
  7. C. Kromer-Edwards, S. Oliveira and D. Stewart, "Parallelizing Basis Pursuit Denoising," 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019, pp. 1-5, doi: 10.1109/IJCNN.2019.8851987.