Eran Halperin

Dr. Eran Halperin is a Professor at the University of California, Los Angeles, affiliated with the School of Engineering (Computer Science Department) and the School of Medicine (Human Genetics, Computational Medicine, Anesthesiology). His research bridges computational biology, genomics, and machine learning, with a focus on developing statistical methods to analyze big medical data for disease prediction and treatment.

• Developed open-source software tools like FEAST, ReFACTor, and Bisque
• Recipients of prestigious awards including Rothschild Fellowship and ISCB Fellow (2021)

Research Interests:
Computational Genomics: Applying machine learning to genomic data (methylation, RNA expression) for disease understanding.
Machine Learning in Medicine: Creating deep learning architectures for ophthalmology, anesthesiology, and acute care applications.
Medical Data Science: Integrating electronic health records with genomic datasets for predictive modeling.

Scientific Recognition:

• Rothschild Fellowship
• Technion-Juludan Research Prize
• Krill Prize in Science
• Elected ISCB Fellow (2021)

Dr. Halperin's lab collaborates across disciplines, utilizing software platforms such as GLINT (methylation analysis) and MTV-LMM (microbiome prediction). His work has received funding from NIH, NSF, and international foundations.