Anil Upreti is a postdoctoral research fellow at Schepens Eye Research Institute / Mass Eye and Ear (Harvard Medical School), with primary lab affiliation in the Kim Lab and close collaboration with the Baranov Lab. His research focuses on integrative multi-omics to understand vitreoretinal disease mechanisms, particularly the role of RUNX1 in proliferative vitreoretinopathy (PVR) and retinal degeneration. He works across single-cell and bulk RNA-seq, ATAC-seq/scATAC-seq, multiome (RNA+ATAC), and proteomics, and frequently partners with multiple labs on sequencing-driven projects and cross-dataset integration.
A major component of his current work involves building and harmonizing large-scale single-cell atlases by integrating publicly available sequencing datasets, especially through Baranov Lab–driven efforts. In addition to ocular multi-omics, he has experience with Alzheimer’s disease proteomics analysis, bringing a broader translational perspective to interpreting complex molecular signatures. He combines wet-lab and computational approaches to move projects from conceptualization to publication-ready analyses and figures, and has 13+ publications including journal and conference contributions. He has received multiple honors, including the Graduate Student Achievement Award and the Presidential Career Leadership grant from Miami University, and has collaborated with external groups such as the University of Sydney and the University of Delaware.
Anil Upreti is a postdoctoral research fellow at Schepens Eye Research Institute / Mass Eye and Ear (Harvard Medical School), with primary lab affiliation in the Kim Lab and close collaboration with the Baranov Lab. His research focuses on integrative multi-omics to understand vitreoretinal disease mechanisms, particularly the role of RUNX1 in proliferative vitreoretinopathy (PVR) and retinal degeneration. He works across single-cell and bulk RNA-seq, ATAC-seq/scATAC-seq, multiome (RNA+ATAC), and proteomics, and frequently partners with multiple labs on sequencing-driven projects and cross-dataset integration.
A major component of his current work involves building and harmonizing large-scale single-cell atlases by integrating publicly available sequencing datasets, especially through Baranov Lab–driven efforts. In addition to ocular multi-omics, he has experience with Alzheimer’s disease proteomics analysis, bringing a broader translational perspective to interpreting complex molecular signatures. He combines wet-lab and computational approaches to move projects from conceptualization to publication-ready analyses and figures, and has 13+ publications including journal and conference contributions. He has received multiple honors, including the Graduate Student Achievement Award and the Presidential Career Leadership grant from Miami University, and has collaborated with external groups such as the University of Sydney and the University of Delaware.