Research applying machine learning to behavioral science questions: how people engage with digital content, make decisions, and respond to persuasive messaging. Combines insights from psychology, behavioral economics, and computational social science.

Machine learning approaches to behavioral sciences research: modeling how people engage with digital content, make decisions, and respond to marketing and persuasive messaging. Work draws on psychology, behavioral economics, and computational social science.

Research in computer vision spanning image synthesis, video understanding, visual question answering, and vision-language models. Work published at CVPR, ICCV, ECCV, and NeurIPS.

Deep learning research spanning neural network architectures, generative models, self-supervised learning, and domain-specific applications in image, video, text, and audio processing.

Research on language models at Adobe MDSR, from efficient pretraining methods to application-specific fine-tuning for content generation, understanding, and marketing intelligence.

Research on large language models for content creation, understanding, and generation. Projects include instruction tuning, LLM reasoning, multimodal language models, and applied LLM systems for Adobe’s creative and marketing products.

Papers and projects from Adobe MDSR applying machine learning to digital media, content understanding, behavior modeling, and marketing intelligence. Research spans supervised, unsupervised, self-supervised, and reinforcement learning paradigms.

Research on multimodal learning that combines visual, textual, and behavioral data. Projects span vision-language models, audio-visual understanding, and multimodal content generation for digital media applications.

Natural language processing research from Adobe MDSR covering text generation, sentiment analysis, argument mining, topic modeling, and language model fine-tuning for marketing and creative applications.

Research on computational persuasion, persuasive content generation, and the science of how messaging influences human behavior. Projects span persuasion strategy detection, argument quality assessment, and AI-driven persuasive writing.