State & Parameter Estimation
Hybrid EnKF–PF for QG and SWE; tightly-coupled priors, adaptive inflation, and flow-consistent constraints.
Kalman family, particles, smoothing
Hello, World.
I build data-driven filters for high-dimensional dynamical systems—at the intersection of Scientific Machine Learning, Uncertainty Quantification, and Lagrangian Data Assimilation.
Digital Twins
Bayesian Inference
Spectral QG
HPC-ready Python/MATLAB
Outcome-driven research with reproducible pipelines
Real-time tracer modeling & assimilation
PyTorch • NumPy • MATLAB • FastAPI • Poetry
Robust numerics • Scalable inference • Deterministic delivery
Core Focus
Tracer-Driven LaDA
Recover Eulerian energy spectra from sparse, noisy Lagrangian trajectories (>16k states) with spectral diagnostics.
Observability, trajectory design
Reproducible SciML
End-to-end pipelines with config management, versioned data, and regression-safe training/eval loops.
Poetry, logging, CI-ready structure
Featured Work
Data-Driven Filtering for Turbulent Flow ModelsHybrid EnKF–PF • QG • Tracer spectra
Teaching & TalksNumerical Methods • WCCM 2024
About & Interests
I completed the MSc in Mechanical Engineering (Computational Applied Mathematics) at the University of Calgary, working in the Predictive & Intelligent Systems Lab. My research deploys Bayesian inference and SciML to reconstruct turbulent, stochastic flow fields.
Core areas: state/parameter estimation, UQ, and data assimilation with sparse, noisy Lagrangian observations. My thesis develops a hybrid EnKF–PF to reconstruct quasi-geostrophic flows and recover Eulerian energy spectra from tracer data in high-dimensional regimes.
Operating model: outcome focus, scalable numerics, reproducible pipelines, HPC-ready implementations in Python/MATLAB.
Research Interests
State Estimation
Parameter Estimation
Time Series
Scientific ML
Tracer Modeling
Lagrangian DA
Dynamical Systems
Uncertainty Quantification
Open to collaborative research and PhD opportunities
Digital twins • Sparse sensing • Robust Bayesian inference for geophysical systems
Digital twins • Sparse sensing • Robust Bayesian inference for geophysical systems
Contact
For collaboration, opportunities, or questions about my work, reach out via email or connect on LinkedIn. I’m open to research discussions around Scientific ML, UQ, and Lagrangian DA.
Quick Links
Digital Twins
Bayesian Inference
Tracer Modeling
Kalman/Particle Filters
Spectral Diagnostics