Research Interests
- Statistical machine learning algorithms for precision medicine and computational Biology with a particular emphasis on Computational Pathology
- Deep learning algorithms for large scale medical imaging (e.g. whole slide images)
- Computational/statistical approaches for tissue omics e.g. characterization of the tumor microenvironment through H&E, multiplex immunofluorescence, spatial transcriptomics, etc
- Multi-modal/view data analytic methodology
- Statistical analysis of structured data (networks, structured sparsity, etc)
Publications
Published, under review, or manuscript available.Computational Pathology
- Goldgof, G.M., Shenghuan, S., Van Cleave, J., Brown, L., Lucas, F., Baik, J., Dogan, A., Goldgof, D.M., Wang, L., Carmichael, I., Prakash, S., Butte, A (2023). DeepHeme: A generalizable, bone marrow classifier with hematopathologist-level performance. Under review.
- Carmichael, I., Song, A.H., Chen, R.J., Williamson, D.F.K., Chen, T.Y., Mahmood, F. (2022). Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling. The International Conference on Medical Image Computing and Computer Assisted Intervention. To appear. (arxiv)
- Carmichael, I., Calhoun, B.C., Hoadley, K.A., Troester, M.A., Geradts, J., Couture, H.D., Olsson, L,. Perou, C.M., Niethammer, M., Hannig, J., Marron, J.S. (2021). Joint and individual analysis of breast cancer histologic images and genomic covariates. The Annals of Applied Statistics, 15(4), pp.1697-1722. (code) (arxiv)
Statistics and machine learning methodology
- Yang, X., Hannig, J., Hoadley, K., Carmichael, I., Marron, J.S. (2023). Measure of Strength of Evidence for Visually Observed Differences between Subpopulations.
- Banerjee, S., Bhamidi, S., Carmichael, I. (2022). Fluctuation bounds for continuous time branching processes and nonparametric change point detection in growing networks. The Annals of Applied Probability. (code)
- Carmichael, I. (2021). The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property. Under review. (python package) (reproducible simulations)
- Carmichael, I., Marron, J.S. (2021). Geometric insights into support vector machine behavior using the KKT conditions. Electronic Journal of Statistics, 15(2), pp.6311-6343. (code)(arxiv)
- Carmichael, I. (2020). Learning sparsity and block diagonal structure in multi-view mixture models. Under review. (python package) (reproducible simulations)
- Iain Carmichael. (2019). Probabilistic and Geometric Approaches to the Analysis of Non-standard Data. Dissertation. The University of North Carolina at Chapel Hill.
- Iain Carmichael, Jonathan Williams. (2018). An exposition of the false confidence theorem. Stat, 7(1), e201. (code)
- Iain Carmichael, J.S. Marron. (2018). Data science vs. statistics: two cultures? Japanese Journal of Statistics and Data Science 1.1 (2018): 117-138.
Statistical software
- Carmichael, I., Keefe, T., Giertych, N., Williams, J.P. (2021). yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties. (code)
- Perry, R., Mischler, G., Guo, R., Lee, T., Chang, A., Koul, A., Franz, C., Richard, H., Carmichael, I., Ablin, P. and Gramfort, A. (2021). mvlearn: Multiview Machine Learning in Python. Journal of Machine Learning Research, 22(109), pp.1-7. (github repository)
- Carmichael, I., Wudel, J., Kim, M., Jushchuk, J. (2017). Examining the evolution of legal precedent through citation network analysis. NCL Rev., 96, 227. (code)
Addiction medicine
- Gazzola, M.G., Carmichael, I., Madden, L.M., Dasgupta, N., Beitel, M., Zheng, X., Eggert, K., Farnum, S., Barry, D. (2022). A cohort study examining the relationship among housing status, patient characteristics, and retention among individuals enrolled in low-barrier-to-treatment-access methadone maintenance treatment. Journal of Substance Abuse Treatment, p.108753. (code)
- Gazzola Gaeta, M., Carmichael, I., Christian, N., Zheng, X., Barry, D. (2022). A National Study of Correlates of Homelessness and Retention Among Outpatient Medication for Opioid Use Disorder-Seeking Individuals in the United States. Under review.
- Gazzola Gaeta, M., Maclean, E., Beitel, I., Carmichael, I., Cammack, K.M., Eggert, K.F., Roehrich, T., Madden, L.M., Jegede, O., Zheng, X., Bergman, E., Barry, D. (2022). What's In A Name? Terminology Preferences Among Patients Receiving Methadone Treatment. Journal of General Internal Medicine. In Press.