Selected Publications



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Cancer Research



Amazon Comprehend Medical

Comprehend Medical is a natural language processing (NLP) service that leverages state-of-the-art machine learning techniques for extracting relationships and entities including medical conditions, medications, treatment, test and procedures.

Cloud-based predictive modeling for asthma readmission

We implemented a cloud-based predictive modeling system via a hybrid setup combining a secure private server with the Amazon Web Services (AWS) Elastic MapReduce platform. EHR data is preprocessed on a private server and the resulting event sequences are hosted on AWS

Clustering patients using activity of daily living scores

Grouping patients can play an important role in designing clinical trials or improving care delivery. In this paper, we present a method for stratifying patients based on their ADL scores.

Digital Slide Archive

Advanced Development of an Open-source Platform for Web- based Integrative Digital Image Analysis in Cancer

Epilepsy treatment recommendation

he aim is to build a reliable prediction model for predicting the optimal treatment of an epilepsy patient.

Quantifying care coordination

This research identifies specific care coordination activities used by Aging In Place (AIP) nurse care coordinators and home healthcare nurses when coordinating care for older community dwelling adults and suggests a method to quantify care coordination.

Clinical predictive model deployment using FHIR web services

Clinical predictive modeling involves two challenging tasks: model development and model deployment. In this paper we demonstrate a software architecture for developing and deploying clinical predictive models using web services via the Health Level 7 (HL7) Fast Healthcare Interoperability Resources (FHIR) standard.


I served as an instructor and teaching assistant for the following courses at Georgia Tech:

  • Big Data Analytics in Healthcare, 2015
  • Vertically Integrated Projects - Computational Health, 2014-2015

I served as an instructor and teaching assistant for the following courses at the University of Missouri:

  • Capstone Senior Design II
  • Capstone Senior Design I
  • Science & Engineering of the WWW
  • Operating Systems I
  • Introduction to WWW
  • Algorithm Design & Programming I (Java)