Assaf Gottlieb, Ph.D., joined the UTHealth School of Biomedical Informatics (SBMI) in January 2017 as an assistant professor and one of the core faculty members of the Center for Precision Health.
Dr. Gottlieb arrived to SBMI from IBM Research where he served as a research associate at the Machine Learning for Healthcare and Life Science group in Haifa labs. Prior to his position with IBM, Dr. Gottlieb was a postdoctoral fellow at both Stanford University and Tel-Aviv University. He has degrees in Physics and Computer Science and has also worked in software and algorithmic development in various software companies.
Dr. Gottlieb’s lab employs an integrative computational approach, combining multiple types of data and applying methodologies from systems medicine, machine learning and causal inference domains. We have long time expertise in employing, and developing, supervised and unsupervised machine learning algorithms for very diverse types of data, including various types of biological data and clinical data from electronic health records and claims data. Our primary interest is to learn how to integrate all these types of data for better health outcomes, be it early predictions of diseases like Alzheimer’s Disease, HIV risk or treatment outcomes, such as in cancer therapy.
|Cancer pharmacogenomics||HIV Risk prediction||Alzheimer's Disease||Opioid use disorder||Multiple Sclerosis|
|Genotypes||Transcriptomics||Fitness trackers||Electronic Health Records|
You can find the full set of publications in NCBI Bibliography or Google Scholar in the top right corner. Below is a selected set from recent years.