Ahmed Abbas Elmahdi: PCF Young Investigator Award

Using Machine Learning to Predict RNA Pol II Interactions of Metastatic Prostate Cancer

Ahmed Abbas Elmahdi, PhD
University of Texas Southwestern Medical Center

Mentors: Ram Mani, PhD; Michael Zhang, PhD

Dr. Ahmed Abbas Elmahdi is developing a machine learning-based model to predict the 3D structure of prostate cancer using genomic sequencing data from methods (RNA-seq and ATAC-seq) that are less costly and more feasible than 3D sequencing methods (ChIA-PET).

Visit PCF website for more information https://www.pcf.org/our-work/the-work-we-fund/young-investigator-awards/class-of-2024/using-machine-learning-to-predict-rna-pol-ii-interactions/.