Our Faculty

Rameshbabu Manyam

Assistant Research Professor
Department of Biostatistics and Bioinformatics
Rameshbabu Manyam
PUBLICATIONS
PUBMED

Bio

Dr. Manyam's research focuses on data science, big data analytics, and risk models with cutting-edge machine learning (ML) and artificial intelligence (AI) algorithms and high-performance computing environments. Specific fields of interest include longitudinal electronic health records (EHR) data analytics using statistical and ML/AI algorithms (e.g., survival regression. decision trees, eXtreme Gradient Boosting, XGBoost, random survival forests, support vector machines, reinforcement learning, and neural networks).       

Dr. Manyam is a trained computer scientist with over 20 years of experience in NIH-funded data-driven research projects, building custom databases, software applications, and data visualization portals. He has expertise in computationally efficient ML/AI approaches to time series analyses and risk prediction. He has hands-on experience with large-scale healthcare data sources, such as EPIC’s EHR, Emory clinical data warehouse, and national clinical and surgical databases.      

Dr. Manyam's current research collaborative efforts include, but not limited to: 1) developing novel, scalable and portable ML/AI-powered risk models - via automated feature engineering, feature selection, ensemble learning and deep learning techniques - to accurately predict risk factors for outcomes such as, (a) suicidal ideation and behavior, b) primary care fragmentation in older adults, c) interhospital transfer among older adults, d) early mortality after interhospital transfer, e) maternal morbidly and mortality, f) mortality after surgery for femoral shaft fractures, g) perioperative blood transfusion in femoral shaft fracture patient cohort, h) hospital readmission after coronary artery bypass grafting (CABG), and i) failure-to-rescue after CABG. 

Recent honors and awards

Areas of Interest

  • Bioinformatics
  • Maternal and Child Health
  • Risk Assessment
  • Cardiovascular Diseases
  • Analytics
  • Health Informatics
  • Health Services Research
  • High Performance Computing
  • Modeling
  • Data Science
  • Survival Analysis
  • Longitudinal Analysis
  • Machine Learning
  • Data Mining
  • Artificial Intelligence

Education

  • PhD, Georgia State University, Atlanta, GA, USA
  • MS, Georgia State University, Atlanta, GA, USA
  • MTech, Indian Institute of Technology, Banaras Hindu University, Varanasi, India
  • BTech, National Institute of Technology, Warangal, India

Affiliations

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