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Mentor Areas

As a collaborative investigator, Dr. Danielle Mowery develops natural language processing (NLP) solutions for processing clinical texts— i.e., clinical notes, chatbots, and transcribed texts— to support clinical and translational research. She leverages NLP, data science, and computational methods to integrate and analyze information from unstructured texts and structured clinical data to help clinical investigators better understand disease burden, treatment efficacy, and clinical outcomes. Furthermore, her solutions focus on helping patients and clinicians make better decisions at the point of care whether it's in a traditional hospital or through digital health services within a patient’s home. Her work aims to uncover scientific discoveries, identify actionable healthcare knowledge, and optimize translation of research into patient care.

Description:

The SemAnTICA (Semantic Analysis of Text for Informing Clinical Action) Lab's mission is to develop technologies, primarily natural language processing (NLP) solutions, which support clinical and translational research studies for improving patient care by learning and/or promoting actionable knowledge from electronic health records. Our research entails developing natural language processing and computational methods for extracting study variables and defining deep phenotypes from clinical text-based resources including clinical notes, transcripts, and more. These methods could address one or more use cases from a diverse set of clinical specialties e.g., cancer, neurology, pulmonology, etc.

Preferred Qualifications

Programming experience in R, Java, or Python is preferred.

Details:

Preferred Student Year

Junior, Senior

Academic Term

Fall, Spring, Summer

I prefer to have students start during the above term(s).

Volunteer

Yes

Yes indicates that faculty are open to volunteers.

Paid

Yes

Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.

Work Study

Yes

Yes indicates that faculty are open to hiring work-study-eligible students.

Researcher


Chief Research Information Officer/Assistant Professor of Informatics