معرفی
Ivan Adzhubey is a Research Associate in Biomedical Informatics at Harvard Medical School, affiliated with the Sunyaev Lab. His work focuses on computational biology, genetic analysis, and functional genomics.
Key research areas include predicting variant impacts using tools like PolyPhen-2, analyzing genome-wide sequencing data for clinical applications, and understanding evolutionary pressures on genetic variation. He contributed to the ENCODE project and CLARITY Challenge, advancing standards in genomic data interpretation.
His recent work emphasizes functional screening of variants (FUSE method) and improving clinical variant assessment through large-scale literature analysis. Collaborations span population genetics, cancer genomics, and protein structure prediction.
Adzhubey's publications address topics like mutation rates linked to DNA replication timing, missense mutation predictions, and computational pipelines for proteomics. His research bridges bioinformatics, genetics, and clinical applications to advance precision medicine and genomic understanding.
