Eman A. Toraih, MD, MSc., PhD, DBio

Assistant Professor, Medical Genetics, Biostatistics, Bioinformatics

Department of Surgery, Tulane Cancer Center Member - Translational Oncology Research Program
Phone
504-988-2301
School of Medicine
Department
Surgery
CV
Document

Education & Affiliations

October 2022-present, Ingenuity Pathway Analysis Online Certification
June 2021 - April 2022, Research fellowship Bioinformatics
August 2018-June 2019, Diploma in Bioinformatics
September - October 2017, Training program on genomics and bioinformatics (2 months) Module 1 (Advanced Bioinformatics & basic programming),Module 2(Microarray Data Analysis),Module 3(RNASeq Data Analysis) ArrayGen Technologies Pvt Ltd,Puna,India (online
September 15, 2016 - April 12, 2017, Training program in regenerative medicine (6 months), Faculty of Medicine, University of Toronto, Canada (online)
November 2016 - December 2016, Epigenetic Control of Gene Expression ( 2 months) University of Melbourne, Australia (online)
May 26, 2008 - May 4, 2014, PhD in Medical Genetics, FOM-SCU, Egypt
June 1, 2004 - April 5, 2008, M.Sc. in Medical Genetics awarded from FOM-SCU, Egypt
2002 - 2003, License to Practice Medicine in Egypt
September 15, 1997 - December 2, 2002, M.B.B.Ch degree in Medicine

Areas of Expertise

Genetics
Bioinformatics
Data Analysis
Cancer Biology

Biography

Dr. Eman Toraih is an Assistant Professor of Biostatistics in the Department of Surgery at Tulane University School of Medicine, where she joined in November 2019. She also holds positions as Professor of Medical Genetics at Suez Canal University (Egypt) and Adjunct Professor at SUNY Upstate Medical University. 

Dr. Toraih earned her medical degree with honors (2002), followed by her master's and doctoral degrees in Medical Genetics from Suez Canal University. Her academic career spans teaching Molecular Genetics, Cancer Genomics, and Bioinformatics to medical students and directing the Molecular Laboratory at the Center of Excellence for Molecular and Cellular Medicine. 

At Tulane, Dr. Toraih has established an extensive network of multidisciplinary collaborators, bringing together researchers with diverse expertise to advance scientific discovery. She mentors students, fellows, residents, and faculty in both basic science and clinical research methodologies. Her groundbreaking work has illuminated the utility of novel thyroid cancer biomarkers for active surveillance, developing a prognostic molecular panel that predicts aggressive tumor behavior with high accuracy.

Dr. Toraih's research has been recognized through multiple prestigious grants, including the Carol Lavin Bernick Faculty Grant (2020-2021), the Louisiana Clinical & Translational Science Center Grant (2021), and the American Thyroid Association research grant funded by Bite Me Cancer and Thyroid Cancer Survivors' Association (2021-2023). Most recently, she was awarded the Carol Lavin Bernick Faculty Grant (2024-2025) for her project "Decoding the GLP1R Genomic Landscape for Precision Obesity Management."

Her findings are transforming clinical approaches to thyroid cancer follow-up, with the potential to significantly improve survival rates while reducing treatment costs nationwide. She has published over 270 peer-reviewed articles, achieving an H-index of 34 with more than 4,500 citations. 

Beyond her research accomplishments, Dr. Toraih has demonstrated exceptional leadership by introducing cutting-edge bioinformatics platforms to Tulane University School of Medicine, including OncoLand and DiseaseLand software, providing unprecedented access to curated public datasets. She serves as an administrator of Ingenuity Pathway Analysis software at the institution. 

Dr. Toraih maintains a strong commitment to community service, actively volunteering to support homeless individuals, provide meals and supplies to those in need, and assist communities affected by natural disasters. 

 

 

 

Research

More information on Dr. Toraih's research and fellowships can be found here: Laboratory for Translational Medicine


PROFESSIONAL EXPERTISE

Data Science & Computational Biology

  • Programming Languages: R, Python (NumPy, Pandas, Scikit-learn), STATA, SPSS
  • Machine Learning & AI: TensorFlow, Jupyter Notebook, AWS Autopilot, Vertex AI, DataRobot
  • Bioinformatics Platforms: Ingenuity Pathway Analysis (Certified), Partek Flow, CLC, Cytoscape, Galaxy, OmicSoft
  • Genomic Resources: GEO, TCGA, GWAS, HaploView
  • Healthcare Databases: TriNetX, SEER, NRD, NSQIP, TQIP, NEISS

Biomedical Research

  • Molecular Biology: PCR, RNAscope, Basescope, FISH, immunohistochemistry
  • Advanced Genomics: Sequencing, SNPs, haplotype, single-cell, ATAC-seq, methylation, spatial analysis
  • Translational Research: Integrated analysis of omics data, biostatistics, epidemiology
  • Molecular biomarkers for caner prognosis and treatment response
  • Genomic and transciptomic profiling of endorcrine tumors
  • Machine learning applications in precision medicine
  • Non-coding RNAs in disease pathogenesis
  • Translational bioinformatics and systems biology
  • Health disparities and cardiovascular health
  • Research educational programs