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Rameshbabu  Manyam

Research Assistant Professor

Research Assistant Professor

Faculty, Biostatistics and Bioinformatics

Dr. Manyam's research focuses on data science, database management, big data analytics, and risk prediction frameworks using machine learning algorithms and high-performance computing environments. Specific fields of interest include longitudinal EMR data analytics using statistical and machine learning and AI algorithms (e.g., survival regression. decision trees, eXtreme Gradient Boosting: XGBoost, random survival forests, support vector machines, and neural networks).     

Dr. Manyam has over 25 years of professional experience working in several data-driven research projects and building custom databases, software applications, and data visualization portals. He has hands-on working knowledge with Emory healthcare data sources (such as Cerner’s Electronic Medical Records (EMR), EPIC’s Electronic Health Records (EHR) database systems, the society of thoracic surgeons’ institutional adult cardiac surgical database and clinical data warehouse).     

Dr. Manyam's current collaborative research efforts include, but not limited to: 1) developing scalable, portable, and reproducible machine learning powered frameworks - via feature engineering, hybrid feature selection, survival analysis and ensemble learning to accurately predict the risk factors for (a) Failure-to-Rescue after coronary artery bypass grafting (CABG), (b) hospital readmission after CABG, (c) mortality after surgery for femoral shaft fractures, and d) blood transfusion for patients who undergo surgery for femoral shaft fractures; 2) developing personalized HIV testing frequency recommendations based on AI-powered recommendation engine, 3) analyzing EHR data to evaluate differences in the utilization of outpatient rehabilitation services among young adults with stroke (YAS) between the ages 21-60 years old, and 4) analyzing Medicare claims data from the Centers for Medicare and Medicaid Services (CMS) to develop machine learning risk models for primary care fragmentation in older adults.  

Recent honors and awards

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Contact Information

Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University

Atlanta , GA 30322

Phone: 404-727-4869

Fax: 404-727-1370

Email: rmanyam@emory.edu

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Areas of Interest

  • Analytics
  • Artificial Intelligence
  • Bioinformatics
  • Cardiovascular Diseases
  • Data Science
  • High Performance Computing
  • Longitudinal Analysis
  • Machine Learning
  • Modeling
  • Risk Assessment
  • Survival Analysis

Education

  • PhD 2019, Georgia State University, Atlanta, GA, USA
  • MS 2002, Georgia State University, Atlanta, GA, USA
  • MTech 1993, Indian Institute of Technology (Banaras Hindu University), Varanasi, India
  • BTech 1991, National Institute of Technology, Warangal, India

Courses Taught

  • DATA 521: Database Development for PH
  • BIOS 585: Python Programming

Affiliations & Activities

Publications