Fathi Elloumi, Ph.D.
- Center for Cancer Research
- National Cancer Institute
- Building 37, Room 5401
- Bethesda, MD 20892
- fathi.elloumi@nih.gov
RESEARCH SUMMARY
Dr. Elloumi’s research focuses on applying data-mining techniques and establishing new approaches or algorithms for understanding complex biological data and predicting the causes and mechanisms of diseases, with the aim of improving diagnosis and treatment. Currently he is working on developing tools that support cancer research and advance personalized medicine.
Areas of Expertise
Fathi Elloumi, Ph.D.
Research
Dr. Elloumi manages the web applications CellMinerCDB(s), for mining Cancer cell lines pharmaco-genomics data across different databases, expanding their functionalities and the integration of new datasets. These applications are great resources to interactively query cell line data, assess reproducibility and build predictive models for drugs as well as for genomic features. He also leads the development of a new web application TumorMiner for precision medicine mining patient clinical and genomics data.
Publications
A Database Tool Integrating Genomic and Pharmacologic Data from Adrenocortical Carcinoma Cell Lines, PDX, and Patient Samples
Sarcoma_CellminerCDB: A tool to interrogate the genomic and functional characteristics of a comprehensive collection of sarcoma cell lines
CellMinerCDB: NCATS Is a Web-Based Portal Integrating Public Cancer Cell Line Databases for Pharmacogenomic Explorations.
CellMiner Cross-Database (CellMinerCDB) version 1.2: Exploration of patient-derived cancer cell line pharmacogenomics
Candidate biomarker assessment for pharmacological response
Biography
Fathi Elloumi, Ph.D.
Dr. Elloumi earned his PhD in computer science from the University of Tunis (Tunisia), where he served as an assistant professor in computer science for over a decade. He then joined the NIH at NIAID in 2004 as a visiting researcher working on pattern discovery for transcription factor binding sites (TFBS). In 2007, he received a National Research Council award to conduct research at the Environmental Protection Agency (US EPA), where he contributed to the ToxCast genomics project. In 2009, he joined the Lineberger Comprehensive Cancer Center, University of North Carolina. His primary research interest was to develop computational approaches to understand the progression of breast cancer. In 2012, he took on the role of Scientific Software Project leader at Sophic Systems Alliance Inc where he contributed to the development of the NCI SBIR-funded Cancer Biomarker Knowledge Environment, SCan-MarK™ Explorer. In 2014, he returned to NIH at NCI as Bioinformatic analyst and technical manager leading different microarray and next generation sequencing data analysis projects; and developing bioinformatics pipelines. In 2021, he was appointed as a staff scientist at the Developmental Therapeutics Branch.