Rameshbabu Manyam
Bio
Dr. Manyam's research focuses on data science, big data analytics, large scale database management, 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, and neural networks).
Dr. Manyam has over 20 years of experience working on 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 EPIC’s EHR database systems, Emory clinical data warehouse, and the society of thoracic surgeons’ institutional adult cardiac surgical database).
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) blood transfusion for after surgery for femoral shaft fractures, h) hospital readmission after coronary artery bypass grafting (CABG), and i) failure-to-rescue after CABG.
Recent honors and awards
- 2025: Provost's Distinguished Teaching Award for Excellence in Graduate and Professional Education, Emory Univeristy
- 2024: 1st place Mike Kutner Faculty Poster Award Winner and Travel Award Recipient at the Southern Regional Council on Statistics (SRCOS) Summer Research Conference
- 2023: Dean's Pilot Innovation Award, Rollins School of Public Health, Emory University
- 2022: Biostatistics and Bioinformatics Faculty Mentor Award, Emory University
- 2021: Biostatistics and Bioinformatics Distinguished Teaching Award, Emory University
- 2020: Outstanding Graduate Student Award, Dept.of Computer Science, Georgia State Univeristy
- 2019: Three Minute Thesis (3MT) event second place winner, Georgia State University
Areas of Interest
- Bioinformatics
- Risk Assessment
- Cardiovascular Diseases
- Analytics
- Biostatistics
- High Performance Computing
- Modeling
- Systems Integration
- Data Science
- Survival Analysis
- Longitudinal Analysis
- Missing and Mismeasured Data
- Machine Learning
- Data Mining
- Biomedical Sciences
- 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
- Member, IEEE Computer Society
- Member, Eastern North American Region International Biometric Society
- Member, Society of Thoracic Surgeons Association
- Organizing Committee Member, 2024 Georgia Statistics Day, Emory University
- Publicity Co-chair, 2025 IEEE International Conference on Bioinformatics and Biomedicine
- Program Committee Member, IEEE International Conference on Bioinformatics and Biomedicine
- Faculty Advisor, Emory Humphrey Fellowship Program, Emory University
In The News
Two Rollins Professors Receive University-Level Teaching Awards
This year, Emory University recognized two Rollins faculty members, both from the Department of Biostatistics and Bioinformatics, for their teaching excellence.