I am currently a Research Fellow at the Natural Language Processing (NLP) lab at Harvard Medical School. Previously, I was a Postdoctoral Research Associate at the Computational Linguistics and Information Processing (CLIP) lab at the University of Maryland, College Park. My general research interest is in developing linguistically-aware and cognitively-motivated machine learning algorithms to effectively process, interpret, enhance, and ultimately understand human language. I have investigated and contributed to major NLP tasks centering on sentiment and semantic aspects of human language. In particular, I have developed sentiment analysis algorithms to detect and extract emotion from textual content; text representation algorithms to identify semantically-relevant texts, and detect and track topics in social and scientific networks; and cognitively-motivated training paradigms to effectively and efficiently train neural networks. My recent research also includes Biomedical Informatics in which I am developing machine learning models to extract clinically-valuable knowledge (e.g.  medical concepts associated with different genres of data, or first-person alcohol drinking content and consumption level) from electronic health records and health-related forum posts. Read more here.

Here is my CV.