Author

Pantelis Zisimopoulos

Cornell UniversityORCID 0009-0006-2425-0882Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Developmental Biology· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:imaging· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Alexandros SigarasiD· 2 shared Olivier ElementoiD· 2 shared Abigail S. KingiD· 1 shared Alicia AlonsoiD· 1 shared Andrea SboneriD· 1 shared Bhavneet BhinderiD· 1 shared Carlos Pabón-Peña· 1 shared David C. WilkesiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Alexandros SigarasORCID

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2 papers

Recent·Most cited

EXaCT-2: An augmented and customizable oncology-focused whole exome sequencing platform

Peter Waltman, Pooja Chandra, Ken W. Eng, David C. Wilkes, Hyeon Hwan Park, Carlos Pabón-Peña, Princesca Delpe, Bhavneet Bhinder, Jyothi Manohar, Troy Kane, Evan M. Fernandez, Kathryn Gorski, Noah Greco, Manuele Simi, Jeffrey M. Tang, , Andrea Sboner

EXaCT-2 is a whole exome sequencing platform that detects various cancer-related genomic features with high accuracy and sensitivity, outperforming standard assays in detecting sub-clonal mutations and molecular metrics.

npj Precision Oncology · Apr 21, 2026Peer-reviewedGenetic & Genomic Medicine

Automatic Ploidy Prediction and Quality Assessment of Human Blastocyst Using Time-Lapse Imaging

Suraj Rajendran, Matthew Brendel, Josue Barnes, Qiansheng Zhan, Jonas E. Malmsten, Pantelis Zisimopoulos, Alexandros Sigaras, Kwabena Ofori-Atta, Marcos Meseguer, Kathleen A. Miller, David I. Hoffman, Zev Rosenwaks, Olivier Elemento, Nikica Zaninović, Iman Hajirasouliha

This paper develops BELA, a deep learning model for ploidy prediction in human blastocysts using time-lapse imaging, achieving an AUC of 0.76 on the Weill Cornell dataset.

Nature Communications · Sep 5, 2024Peer-reviewedDevelopmental Biology