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index.qmd
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---
about:
id: header
template: trestles
image: profile_pic.jpg
image-width: 10cm
image-shape: round
links:
- href: https://github.com/rmk118
text: GitHub
icon: github
- href: https://www.linkedin.com/in/ruby-krasnow/
text: LinkedIn
icon: linkedin
- href: mailto:[email protected]
text: Email
icon: envelope-fill
- href: https://orcid.org/0009-0007-0531-8420
text: "{{< fa brands orcid >}} ORCID"
- href: https://www.strava.com/athletes/117549632
text: "{{< fa brands strava >}} Strava"
- href: https://bsky.app/profile/rubyk.bsky.social
text: "{{< fa brands bluesky >}} Bluesky"
---
::: {#header}
## Welcome!
My name is Ruby Krasnow *(she/her)* and I am a quantitative marine ecologist focused on using modeling and data science to support sustainable fisheries management and marine aquaculture.
[View my full CV here](Krasnow_CV_for_web_11-02-24.pdf){target="_blank"}
:::
## Education
I am a first-year Ph.D. student studying Marine Biology at the University of Maine. My primary advisor is Dr. Damian Brady, who leads a large lab group focused on [Marine Sciences of Aquaculture, Fisheries, and Renewable Energy](https://umaine.edu/bradylab/). I have been working with the Brady lab since 2022 and am thrilled to continue my education as a member of such an exciting, collaborative, and passionate group of researchers.
**B.A., Biology** - Clark University, Worcester, MA \| Dec. 2024
- Minor in Mathematics
- GPA: 4.0
**Semester in Environmental Science** - Marine Biological Laboratory, Woods Hole, MA \| Fall 2023
## Research
### Methods & Approaches
- Synthesis research: systematic reviews, meta-analysis, interdisciplinary collaborations
- Open and reproducible data science: [FAIR](https://www.go-fair.org/fair-principles/) (findable, accessible, interoperable, and reusable) data
- Statistical analysis, modeling, and data visualization in R
- Generalized linear models, mixed-effects models, and related methods
- Dynamical/state-space modeling
- Applications of ordinary and partial differential equations in ecology
- Bayesian analysis
- Spatiotemporal modeling (including geostatistics and time series analysis)
- R package development
### Applications
- Marine aquaculture
- Dynamic Energy Budget models of cultivated sugar kelp
- Spatial modeling for aquaculture site selection
- Quantifying, predicting, and mitigating biofouling in kelp and shellfish aquaculture
- Quantitative fisheries
- I am especially interested stock assessment and population dynamics models for economically important crustacean species, particularly data-poor species like the Jonah crab (*Cancer borealis*)
- Estimating crustacean size at maturity from allometric data