CURRICULUM VITAE
Academic trajectory, research, and teaching.
Postdoctoral Fellow in Applied AI with work spanning explainable AI, mechanistic interpretability, temporal learning, computer vision, and research software.
CURRENT APPOINTMENT
Western Postdoctoral Fellow
Conducting research on mechanistic interpretability and human-centered XAI under the supervision of Dr. Katarina Grolinger in the Faculty of Engineering.
APPOINTMENTS & EDUCATION
RECOGNITION
TECHNICAL PROFILE
AI & ML: deep neural networks, RNNs, CNNs, GNNs, transformers, diffusion models, representation learning, kernel methods, multimodal learning.
Interpretability: mechanistic analysis, concept probing, finite-difference explanation, representation visualization, human-centered evaluation.
Engineering: Python, PyTorch, TensorFlow, MATLAB, SQL, Git/GitHub, Linux, Jupyter, Conda, LaTeX.