The majority of my work has been in Clinical Natural Language Processing. The overarching theme of my research under Dr. Chitta Baral has been to leverage NLP across biomedical & clinical data (like Electronic Medical Records) to make actionable decisions that improve efficiency of healthcare delivery.
Multi-Perspective Biomedical Semantic Question-Answering (MS Thesis)
Given a query in natural language, search across 29 million PubMed abstracts and identify top n candidate sentences that answer the query. To better "understand" and rank candidates, a weighted "Multi-Perspective" approach, utilizing three BERT models trained on different tasks, is taken.
Clinical Trial Eligibility Classification from Electronic Medical Records
Prescription Information Extraction from Electronic Health Records (BS Thesis)
Bidirectional LSTM + CRF neural architecture for Named Entity Recognition applied to the i2b2 2009 Medication Information extraction challenge.