Omar Lab Members
The Omar lab welcomes people of any race, ethnicity, religion, national origin, gender identity, gender expression, caregiver and family commitments, political affiliation, sexual orientation, and eligible age or disability status.
Mohamed Omar, M.D
Principal Investigator
Mohamed.Omar@cshs.org
0000-0002-8068-1920 
mohamed-omar-md Cedars-Sinai Profile
Mohamed's Citations 
@MohamedOmarMD 
mohamedomarmd.bsky.social 
TheOmarLab Mohamed recieved his MD degree from the School of Medicine at Mansoura University, Egypt. He then conducted postdoctoral training in Computational Genomics at Johns Hopkins University School of Medicine and in Computational Pathology from Weill Medical College of Cornell University (Weill Cornell Medicine) in the Lab of Dr. Luigi Marchionni.
In 2022, Mohamed became Assistant Professor of Research in Pathology and Laboratory Medicine, where he worked on developing computational approaches for cancer phenotype prediction using histopathology and multi-omics data.
He moved to Los Angeles, California in November 2024 to start his independent research lab in the Department of Computational Biomedicine at Cedars-Sinai.
Priyanka Vasanthakumari, Ph.D.
Research Data Scientist
Priyanka.Vasanthakumari@cshs.org
priyanka-vasanthakumari-phd-68492789
priyanka9991 Priyanka received her Ph.D. in Biomedical Engineering from Texas A&M University in 2022. Her thesis focused on deep learning-based detection of oral and skin cancer using multi-spectral Autofluorescence Lifetime Imaging (maFLIM). Subsequently, she joined Argonne National Laboratory as Postdoctoral Fellow, where she focused on developing machine learning models for predicting anti-cancer drug responses.
In the Omar lab, Priyanka is working on developing multimodal risk assessment tools for patients with prostate cancer using multiparametric MRI imaging (mpMRI) and digitized histopathology slides of biopsy specimens.
Rishabh received his Bachelor of Science in Chemical Engineering from the University of Southern California in 2020. Subsequently, he received his Masters degree in Data Science from the University of Rochester. His prior work has focused on developing AI-driven platforms for spatial biology applications and language models for description-to-molecule generation tasks.
In the Omar lab, Rishabh is working on developing robust models for inferring high resolution spatial and molecular features from routine hematoxylin and eosin (H&E)-stained whole slide images (WSI).