Please join the Department of Biomedical Informatics and Data Science for the next edition of the PowerTalks Seminar Series, featuring Zeeshan Ahmed, Ph.D. of Rutgers University, with his presentation titled "Data Science, Bioinformatics, and Multimodal AI/ML for Predictive and Precision Medicine."

Artificial intelligence (AI) and machine learning (ML) have advanced in several areas and fields of life; however, its progress in the field of precision and genomic medicine is not matching the levels others have attained. Challenges include, but are not limited to: the handling, integration, and analysis of high volumes of complex multi-omics data, and the expertise needed to implement and execute AI/ML approaches.

In this talk, Dr. Ahmed will discuss the important role of traditional bioinformatics, data science, classical statistics, and cutting-edge AI/ML techniques utilizing multi-omics and clinical data to support translational research and precision medicine. Additionally, Ahmed will discuss disease-specific case studies, most importantly related to discovering biomarkers and predicting cardiovascular diseases. 

Dr. Zeeshan Ahmed is an Assistant Professor at the Department of Medicine, Division of Cardiovascular Disease and Hypertension, and Division of General Internal Medicine, Robert Wood Johnson Medical School, and Core Faculty Member at the Institute for Health, Health Care Policy and Aging Research, Rutgers Health.

He is also an Adjunct Assistant Professor at the Department of Genetics and Genome Sciences, at the School of Medicine, UConn Health, CT. Dr. Ahmed’s lab at Rutgers is focused on highly innovative and collaborative scientific research.