Greg Hunt
Statistician
I am an interdisciplinary researcher that builds scientific tools. I am trained as a statistician, mathematician and computer scientist. Currently I work on a diverse set of problems in biology, physics, and engineering.
ghunt [at] wm [dot] edu
CV
projects:
- cell-type proportion estimation
- hspe: hybrid-scale proportion estimation
- dtangle: quick and accurate cell-type deconvolution
- image-based cell profiling
- rr: robust re-scaling to help reveal latent structure
- mema_norm: robust normalization of high-throughput imaging assays
- hypersonics and engineering
- svsa: support vector spectrum approximator for quick approximations of spectra
- app: adaptive pressure profile shock train tracking for dual-mode sc/ramjets
- kars: kernel approximation of raman spectra
- reproducibility
teaching:
Check out our
Applied Statistics track of the
Computational & Applied Mathematics & Statistics major. This major will give you a rigorous preparation for an exciting career in
statistics, biostatistics, data science, and many other data-analytical paths.
For those looking for a more traditional applied mathematics education consider our
applied mathematics major.
currently teaching:
- MATH 452/552 | mathematical statistics | fall 2024
- MATH 455/555 | statistical learning | fall 2024
