Marine Biologist • Quantitative Ecologist • Data Science Enthusiast

As a marine biologist turned quantitative ecologist, I'm passionate about unraveling how marine biodiversity responds to environmental change through computational modeling, experimental research, and innovative data analytics.

Developing trait-based computational models to simulate extinction sequences and biodiversity loss cascades, while conducting mesocosm experiments to understand organism responses to environmental stressors—all powered by R and emerging Python workflows.

• Quantitative marine ecology projects - biodiversity modeling and ecosystem functioning
• Arctic marine ecosystem research - climate change impacts and adaptations
• Experimental ecology workflows - from mesocosm design to statistical analysis
• Open-source ecological modeling tools - R packages and computational frameworks
• Environmental disturbance studies - cumulative effects and ecosystem responses
• Data visualization projects - making complex ecological data accessible

Advanced trait-based modeling techniques, scaling computational models for large ecological datasets, and integrating experimental data with predictive frameworks.

• Python ecosystem - expanding beyond R for larger-scale ecological modeling
• Advanced statistical modeling - Bayesian approaches and machine learning applications
• HTML/CSS - building better interfaces for ecological research tools
• High-performance computing - optimizing models for biodiversity simulations
• RShiny applications - interactive tools for ecological research

• Marine benthic ecology - community responses to environmental change
• Arctic marine ecosystems - polar biodiversity and climate impacts
• Mesocosm experiments - laboratory and field experimental design
• Trait-based modeling - computational approaches to biodiversity loss
• Quantitative ecology - statistical analysis of ecological patterns
• R ecosystem - from data wrangling to complex visualizations
• Environmental disturbance analysis - individual and cumulative stressor effects
• Ecosystem functioning - linking biodiversity to ecological processes

My research journey takes me from Arctic field stations collecting benthic samples to laboratory mesocosms simulating future ocean conditions, and finally to computational models predicting ecosystem cascades. I love that modern marine ecology lets me combine hands-on fieldwork with cutting-edge data science.

• Marine biodiversity responses - natural and anthropogenic disturbance impacts
• Arctic marine ecology - polar ecosystem dynamics and climate change
• Experimental ecology - mesocosm studies across laboratory and field settings
• Trait-based computational modeling - biodiversity loss and extinction cascades
• Ecosystem functioning - linking community structure to ecological processes
• Cumulative effects assessment - multiple stressor interactions and responses
• Quantitative methods - statistical modeling and data science applications

"And I tell you, if you have the desire for knowledge and the power to give it physical expression, go out and explore."
— Apsley Cherry-Garrard, The Worst Journey in the World (1922)