Research

7+

Peer-Reviewed
Publications

7+

Journals
Reviewed

29+

Papers
Reviewed

4

Top-Tier
Venues

Vanier
Scholar

NSERC Canada
Graduate Scholarship

Gold
Medal

Governor General
of Canada · 2025

Research Themes

Five interconnected methodological threads

Thread 01

LLM Behavioral Monitoring in Complex Systems

Detecting reliability degradation, output drift, and failure modes in LLM-powered pipelines operating over interconnected data systems — combining observability instrumentation with behavioral evaluation frameworks to maintain trustworthy AI performance in production.

Behavioral Drift Detection Observability LLM Evaluation Output Reliability Calibration Mechanistic Probing Probing Classifiers Interpretability Uncertainty Quantification Failure Mode Analysis Chain-of-Thought Monitoring Agentic Pipelines

Thread 02

Deep Learning for Hazard Forecasting

State-of-the-art deep learning architectures applied to geospatial time-series data for province-scale wildfire prediction, urban flood forecasting, and real-time risk assessment — end-to-end pipelines designed for operational deployment in high-stakes environments.

ConvLSTM CNN+LSTM Vision Transformers Temporal Fusion Transformers Deep Learning Ensembles Remote Sensing Satellite Imagery Multi-modal Fusion Geospatial Forecasting Physics-Informed Neural Networks Graph Neural Networks Transfer Learning Real-time Inference Hazard Intelligence

Thread 03

Supervised ML for Complex Prediction

Developing supervised learning frameworks capable of capturing high-dimensional, non-linear interactions in complex systems — where outputs are interdependent and predictive accuracy demands going beyond standard single-output model assumptions.

ANN Deep Neural Networks Random Forest XGBoost Ensemble Methods Multi-output Regression Regularization Bayesian Methods Uncertainty Estimation Calibration Feature Importance SHAP Values

Thread 04

Graph-Theoretic Risk Modeling

Applying graph-theoretic methods and complex network analysis to model systemic risk and cascading failure propagation in interconnected systems — formalizing how local disruptions escalate into system-wide failures through dependency structures.

Complex Network Theory Interdependent Networks Temporal Networks Dynamic Networks Systemic Risk Cascading Failures Contagion Modeling Network Resilience Graph Neural Networks Network Embeddings Spectral Analysis Community Detection Knowledge Graphs

Thread 05

Optimization-Augmented Machine Learning

Applying metaheuristic optimization to accelerate and improve model development — replacing exhaustive search strategies with intelligent, convergence-focused approaches that achieve superior hyperparameter configurations at a fraction of the computational cost and time.

Genetic Algorithms Particle Swarm Optimization Evolutionary Computation Swarm Intelligence Hyperparameter Efficiency Bayesian Optimization Neural Architecture Search AutoML Surrogate Models NSGA-II Multi-objective Optimization Pareto Optimality Constrained Optimization Decision Support