Samuel Sledzieski

Computational Biology PhD Student
Massachusetts Institute of Technology, USA

GitHub: samsledje
Twitter: @samsledzieski
Google Scholar


*Equal Contribution


  • Devkota*, Singh*, Sledzieski, Berger, Cowen, “Topsy-Turvy: integrating a global view into sequence-based PPI prediction,” Bioinformatics, In Press. [PDF] [Software]
  • Sledzieski*, Singh*, Cowen, Berger, “D-SCRIPT translates genome to phenome with sequence-based, structure-aware, genome-scale predictions of protein-protein interactions,” Cell Systems 12.10 (2021): 969-982. [PDF] [Software]


  • Sledzieski*, Singh*, Cowen, Berger, "Adapting protein language models for rapid DTI prediction", Machine Learning for Structural Biology Workshop at NeurIPS, December 2021. [PDF]
  • Sledzieski*, Singh*, Cowen, Berger, “Sequence-based prediction of protein-protein interactions: a structure-aware interpretable deep learning model,” Conference on Research in Computational Molecular Biology (RECOMB), August 2021. [PDF]
  • Sledzieski, Zhang, Mandoiu, Bansal, “TreeFix-TP: Phylogenetic Error Correction for Accurate Reconstruction of Viral Transmission Networks,” Pacific Symposium on Biocomputing (PSB), January 2021. Proceedings, pages 119-130. [PDF] [Software]


  • Kousi, Boix, Park, Mathys, Sledzieski, Peng, Bennett, Tsai, Kellis, “Single-cell mosaicism analysis reveals cell-type-specific somatic mutational burden in Alzheimer’s Dementia,” bioRxiv. posted 22 April 2022, 10.1101/2022.04.21.489103. [PDF]
  • Kumar, Brenner, Sledzieski, Olaosebikan, Lynn-Goin, Putnam, Yang, Lewinski, Singh, Daniels, Cowen, Klein-Seetharaman, “Transfer of Knowledge from Model Organisms to Evolutionarily Distant Non-Model Organisms: The Coral Pocillopora damicornis Membrane Signaling Receptome,“ bioRxiv. posted 28 October 2021. 10.1101/2021.10.18.464760. [PDF]
  • Zaman*, Sledzieski*, Wu, Bansal, “Phylogenetic reconciliation reveals extensive ancestral and the SARS-CoV-2 lineage,” bioRxiv. posted 13 August 2021, 10.1101/2021.08.12.456131. [PDF] [Software]
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