My research focuses on developing machine learning algorithms that learn from and subsequently aid human design and creativity; a mixture of topics that I call Design Informatics. This involves using a combination of Artificial Intelligence, Machine Learning, Computational Linguistics, Ethnography, Human-Computer Interaction, Social Science, and Crowdsourcing techniques to analyze and build web-based software tools for designers on top of scalable machine learning systems.
Below are some research projects and publications that I have done in these areas. I believe in reproducible and open-source science whenever possible, and do my part by making most of my research code available on my GitHub account. You can also check out my information on Google Scholar for various citation information