Evolutionary ecologist working with microbes. I combine experiments, data synthesis and eco-evolutionary theory to understand, and ultimately predict, how populations and communities persist and adapt as their environment changes. Research scholar in the Brown Lab at Georgia Tech, supported by a Cystic Fibrosis Foundation Postdoctoral Fellowship.
Research themes
- Energy: what it costs cells to persist, from the ATP budget of making a spore to evolution during 1,000 days of starvation.
- Predictability: when infection outcomes can be forecast, from host health and survival to the accelerating risk of death across host-pathogen systems.
- Noise: how environmental fluctuations and sampling noise shape host-phage dynamics and what routine resistance testing can reveal.
Selected repositories
| Theme | Repository | What it holds |
|---|---|---|
| Energy | cost_of_spore | Energetic cost of sporulation in ATP from genome, transcriptome and proteome data, with models of sporulation efficiency |
| Energy | starvation | 1,000 days of Bacillus subtilis without added resources: population dynamics, genome sequencing and phenotyping |
| Predictability | Galleria_Survival | Host health, infection history and survival in Galleria mellonella infected with Pseudomonas aeruginosa |
| Predictability | GoldsteinGameTheory | Host-pathogen coevolution of conditional response rules versus fixed traits |
| Predictability | wasteWaterVirus | Whether virus loads in sewage track and lead reported cases (ARIMA, VAR, cross-correlation) |
| Teaching | teaching-materials | Activities, worksheets and R scripts from four courses, 2018-2025 |
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