Research project

🐢 Interface for Running NetLogo Simulations from R

Infrastructure and tooling for the NextGen Research DataStream (NRDS)

Numerical interpolation and approximation of water pollution data to construct continuous spatial pollution maps.

A Python based kernel to perform spatial (environmental) impact assessment

Heterogenous Graph Attention Transformer for high-resolution, distributed spatiotemporal flood prediction. Published at ACM SIGSPATIAL 2025.

Hydrological Model Continuum (HMC) – Open-source distributed hydrological model for simulation of water cycle processes, including runoff, soil moisture, snow, and routing.

Spatiotemporal Gaussian process modeling for environmental data: non-stationary PDE prior, deep kernels, multi-fidelity fusion, and A-optimal sampling.非稳态 PDE + 核深度学习 + 多保真 Co-Kriging + 主动采样的物理约束克里金方法，用于复杂时空环境建模与预测

Complementary repository with data and code for Wolf & Tollefsen, 2021.

Advanced framework combining 2D contaminant transport simulation (advection–diffusion) with machine learning to classify ecological risk (Low/Medium/High) and generate dashboards, GIFs, and reports.

Operational HAB forecasting for the San Jose Lagoon (in San Juan, PR) using weekly chlorophyll-a regression and bloom-risk classification.

Code and processed data accompanying the MSc thesis Integrating Dynamical Systems and Machine Learning for Modeling and Predicting Decay Across Wood Treatments, conducted at DTU in collaboration with the Danish Technological Institute.

Deterministic simulation framework for bio-stabilizing lunar regolith using spray dynamics, curing physics, and validated system models.

C++ systems development for environmental modeling, 3D visualization, and performance-critical applications. Combining computational efficiency with domain expertise in environmental science and data systems.

Multivariate GLM/GAM pipeline modeling fish community structure responses to SST, wind, chlorophyll, and kelp biomass forcing in the California Current ecosystem

Data-driven river water quality modeling using MATLAB and HSY algorithm with simulation and optimization techniques

A pioneering methodological framework for environmental modeling in the LIFE A_GreeNET project using ENVI-met. This protocol integrates Rhinoceros, Grasshopper, and the Morpho plugin to create a standardized approach for urban environmental simulations.

Particle-based Python demo of synthetic plume transport through a variable wind field using advection, random-walk diffusion, eddy/shear flow, and density visualization.

Enhanced Rock Weathering Analysis using USGS Alaska Geochemical Database

Synthetic radiological plume modeling and sensor-network analysis pipeline with Gaussian plume transport, detector thresholds, source reconstruction, Monte Carlo uncertainty, and MATLAB/Python figures.