BioHPC Lab @ Saint Louis University!
Our group's research focuses on developing new software tools to better analyze Big Data (principally, but not limited to, bio, health, and biomedical) using Artificial Intelligence (AI) and diverse computational techniques on High-Performance Computing (HPC) systems including supercomputers and cloud computing.
News:
- 2024: Cory published his first first-author paper at Genome Research, NSF CC* Award for AI research at SLU (PI).
- 2023: Summer hands-on tutorial about AI-HPC at GIST (GitHub link)
- 2022: Welcome, Cory Gardner started a CS Ph.D. program! SLU Research Innovation Fund for developing T-Cell anlysis platform.
- 2021: MegaR->BMC Bioinfo (Eliza and Yassin, Congrats!), iCAT->F1000Research, Korea Gov ACT+ Funding Award (co-PI)
- 2020: Tenured! (One year early), CAMDA 2020 (Best Presentation Award! Sadiya and Cory, Congrats!), ACM-BCB 2020 (Tim, Congrats!)
- 2019: W3PHIAI-19 (AAAI-19), Nestle-Purina Funding, ISMB-2019 (CAMDA-MetaSub Challenge)
- 2018: SLU President's Research Fund Award, ISMB-2018 (LONGO, CAMDA-MetaSub PPT Video), KOCSEA18, BIBM-2018
- 2017: ACM-BCB2017, BIBM-2017(Technical Program Committee)
- 2016: NSF CRII Award (2016-18, sole-PI), NSF S-STEM Award (2017-22, co-PI), AWS Cloud Credits for Research, Microsoft Azure Cloud Credits
- 2015: Join SLU, launch BioHPC lab
Bio- and Biomedical informatics
Bio- and Biomedical informatics research is an interdisciplinary field that develops methods and software tools for understanding biological and medical data. As an interdisciplinary field of science, it combines computer science, statistics, mathematics, and engineering to analyze and interpret biological, medical, and clinical data.
Big Data and AI
To extract knowledge from big data in bioinformatics, machine learning has been a widely used and successful methodology. Deep learning, a branch of machine learning, has recently emerged based on big data, the power of parallel and distributed computing, and sophisticated algorithms.
HPC
High-Performance Computing most generally refers to the practice of aggregating computing power in a way that delivers much higher performance than one could get out of a typical desktop computer or workstation in order to solve large problems in science, engineering, or business.
Interdisciplinary Science and Engineering (ISE) Building Room 234B
Saint Louis University
Mailing address:
220 N. Grand Blvd., St.Louis, MO 63103
Phone: (314)-977-3633