Expert solutions, backed by AI research and behavioral science, for real-world challenges.
Modeling Human Complexity with Applied AI
Expert solutions, backed by AI research and behavioral science, for real-world challenges.
Expert solutions, backed by AI research and behavioral science, for real-world challenges.
Expert solutions, backed by AI research and behavioral science, for real-world challenges.
I’m an applied AI scientist and behavioral systems modeler with a PhD in psychology and deep expertise in machine learning, causal inference, and computational linguistics. I specialize in building real-world predictive systems — the kind that work under ambiguity, involve human decisions, and demand interpretability.
My work spans full-stack ML development, experimental design, NLP, and human-in-the-loop evaluation. Whether I’m deploying multimodal models or simulating policy interventions, my focus is always the same: make complex systems understandable, adaptive, and aligned with real-world behavior.
I thrive at the intersection of disciplines — where human behavior meets data, where models meet decision-making, and where theory meets practice. I design tools and frameworks that not only perform well, but improve over time and across contexts.
I’m particularly passionate about fairness-aware modeling, safety in AI systems, and designing interpretable pipelines for high-stakes domains.