I am a first year CS PhD student in the UNC NLP lab at the University of North Carolina at Chapel Hill, advised by Prof. Mohit Bansal. Previously, I spent 1.5 years as Data Scientist at Sciome LLC, a budding health-informatics startup based out of Durham. I built Information Extraction pipelines for parsing scientific articles and converting the full-text into meaningful, structured data. I collaborated with bioinformaticians and cheminformaticians to develop deep learning models for gene expression extrapolation and toxicological assay image analysis.

I graduated with a Masters in Biomedical & Health Informatics from University of Washington School of Medicine and worked towards a thesis on extraction of clinical timeline from patient discharge summaries under the guidance of Prof. Meliha Yetisgen. At the same time, I was also a Research Assistant advised by Prof. Elaine O. Nsoesie (who has since moved to Boston University) at the Institute of Health Metrics & Evaluation. We developed novel machine learning approaches for public health research problems.

I completed my undergraduate (Integrated B.Tech & M.Tech) in Electronics & Electrical Communication Engineering, with specialization in Visual Info. Processing & Embedded Systems from Indian Institute of Technology, Kharagpur, India in 2015. My broad research interests are in Natural Language Processing, Machine Learning and Deep Learning.

Recent News

• August 2019 : Joined the UNC NLP lab this fall for PhD in CS.
• July 2019: Research paper accepted to Journal of the American Medical Informatics Association (JAMIA) Open.
• June 2019: Research paper accepted at the ICML AI for Social Good Workshop 2019, Long Beach, CA.
• March 2019: PhD admits in the Ultrasound Imaging group at Johns Hopkins and NLP/ML group at University of North Carolina, Chapel Hill.
• November 2018: Presented work on biomedical information extraction at the Text Analysis Conference 2018, Gaithersburg, MD.
• August 2018: Research paper accepted to Journal of the American Medical Association (JAMA) Open and covered by leading news outlets.

Publications [Google Scholar] [dblp]

• Detecting reports of unsafe foods in consumer product reviews
  Adyasha Maharana, Kunlin Cai, Joseph Hellerstein, Yulin Hswen, Michael Munsell, Valentina Staneva, Miki Verma, Cynthia Vint, Derry Wijaya and Elaine O Nsoesie
  Journal of the American Medical Informatics Association (JAMIA Open), 2019 [paper]

• Quantifying the Impact of the Built Environment on Neighborhood Crime Rates
  Adyasha Maharana, Quynh C. Nguyen, and Elaine O. Nsoesie
  AI for Social Good Workshop (co-located with ICML), 2019 [paper]

• A Pragmatic Approach to Information Extraction for Systematic Review [Acceptance Rate: 17%]
  Adyasha Maharana, Arpit Tandon, Eric Wimberley, Mihir Shah, Ruchir Shah and Brian E. Howard
  Text Analysis Conference (TAC), 2018 [paper]

• Use of deep learning to examine the association of the built environment with prevalence of neighborhood adult obesity
  Adyasha Maharana and Elaine Nsoesie
  Journal of the American Medical Association (JAMA Network Open), 2018 [paper]

• Clinical Event Detection with Hybrid Neural Architecture
  Adyasha Maharana, Meliha Yetisgen
  BioNLP (co-located with ACL), 2017 [paper]

• Social media as a sentinel for disease surveillance: what does sociodemographic status have to do with it?
  Elaine O. Nsoesie, Luisa Flor, Jared Hawkins, Adyasha Maharana, Tobi Skotnes, Fatima Marinho, and John S. Brownstein
  PLOS Currents Outbreaks 2016

Teaching

• Digital Signal Processing Laboratory - Spring 2015
  

• Micro-controllers & Microprocessors Laboratory - Fall 2014
  

Professional Service

• Reviewer for JAMA Network Open