OscillatorOptimization.jl
A scientific software workflow for identifying and analyzing oscillatory regimes in biochemical models, combining simulation, optimization, and parameter exploration.
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What I do
My research has focused on how geometry, transport constraints, and reaction-network structure shape oscillatory behavior in biological systems. I work primarily in Julia and Python, and I am especially interested in building usable technical tools rather than isolated scripts: simulation pipelines, visualization workflows, reproducible analysis systems, and developer tooling around scientific codebases.
Beyond research itself, I enjoy translating complex technical ideas for mixed audiences. That includes mentoring students, teaching quantitative biology, creating high-signal figures and animations, and hosting industry-facing programming through the Hopkins Biotech Network.
Selected Work
Things worth clicking on
First-author preprint
A membrane-driven biochemical oscillator tunable by volume-to-surface-area ratio. A modeling study on membrane-localized biochemical oscillators and geometric control of dynamics.
View preprintScientific visualization
Publication-quality figures and animations designed to make high-dimensional dynamical behavior legible, persuasive, and easy to discuss with interdisciplinary collaborators.
Technical communication
Talks at ASCB 2022, APS 2023, and the 2023 Gordon Research Conference on Stochastic Physics in Biology, plus teaching and mentoring across undergraduate and graduate settings.
Research
Core themes
Biochemical oscillators
Modeling tunable oscillations in membrane-localized reaction networks.
Scientific computing
Julia and Python workflows for simulation, analysis, and reproducibility.
Developer tooling
Automation and context-aware tooling for technical workflows, including MCP-based experiments.
Links