I’m an AI researcher and builder focused on developing useful, trustworthy systems for real-world settings. I’m currently a Postdoctoral Associate at MBZUAI, where my work centers on AI for the Global South: agricultural data infrastructure and governance, AI advisory systems including agricultural large language models, and AI personalization. Before MBZUAI, I spent nearly three years at Stanford School of Medicine working on responsible AI in healthcare. My background spans machine learning, applied mathematics, healthcare, agriculture, and product-minded research.
Experience
AI for the Global South, with projects on creating and governing a large agricultural data corpus, developing AI advisory systems including agricultural large language models, and AI personalization.
At the Healthcare Ethical Assessment Lab for Artificial Intelligence (HEAL AI), I worked on responsible AI in healthcare, algorithmic fairness, stakeholder-based AI risk assessment, and data governance.
Interpretable and causal machine learning for cognitive health and personalized aging.
Applied deep learning, data development, and AI/ML engineering research in an industry setting.
Selected work
At MBZUAI’s Institute for Agriculture and Artificial Intelligence (IAAI), I work on agricultural data infrastructure and governance, AI advisory systems including agricultural large language models, and AI personalization.
Explore IAAI →Through Stanford HEAL AI, I worked with patients, clinicians, developers, and other stakeholders to identify risks that model metrics alone can miss.
A Chrome extension that helps users understand the water-consumption impact of interactions with large language models.
View on GitHub →Selected publications