ABOUT US
- Innovative Research
Conduct cutting-edge methodological research to develop new statistical methods and ML/AI algorithms capable of extracting new insights from large-scale, high-throughput multi-omics data.
- Collaborative Discovery
Collaborate with scientists and clinicians to facilitate new scientific discoveries that lead to better health and medicine through data science, machine learning, and statistical modeling.
- Future Training
Train next generation biostatisticians equipped with advanced data science and ML/AI capabilities as well as scientific mind and vision.
- Advanced Computing Resources
Possess a powerful HPC cluster with 32 compute nodes. Each nodes have 32 compute cores and at least 192GB of RAM each, with two large memory node has 1.5TB of RAM, as well as one GPU node featuring four NVIDIA A300 GPUs. This high-performance cluster is connected by a 25GB Ethernet network and supported by a 1 Petabyte Panasas parallel file system, providing seamless access to vast storage capabilities.

EVENTS
Weekly Meeting | Every Friday | 12:00 AM – 1:00 PM | RRR R344 |
Local Resource
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health [Link]
- Department of Biomedical Informatics, Emory University School of Medicine [Link]
- Winship Cancer Institute of Emory University [Link]
- Center of Biomedical Imaging Statistics (CBIS) [Link]
- Emory Empathetic AI for Health Institute (AI Health) [Link]
- Emory Integrated Genomics Core (EIGC) [Link]
- Emory Integrated Computational Core (EICC) [Link]
- Data Analytics and Biostatistics Core [Link]
- Emory Computer Science and Informatics (CSI) PhD program [Link]
- Biomedical Informatics Concentration (BMI) of the CSI PhD program [Link]
Teaching Courses of Core Faculties
- 2024 Fall
- BIOS 540: Introduction to Bioinformatics – Steve Qin Sample Syllabus
- BIOS 555: High-Throughput Data Analysis using R and BioConductor – Chang Su Sample Syllabus
- 2025 Spring
- BIOS 534: Machine Learning – Steve Qin Sample Syllabus
- BIOS 731: Advanced Statistical Computing – Julia Wrobel Sample Syllabus
At ENCORE
We strive to:
Facilitate Interdisciplinary Collaboration
Advance Computational Methods
Enable Data Integration and Harmonization
Educate and Train the Next Generation
Translate Discoveries to Applications
Promote Ethical and Responsible Research