Alexey I Nesvizhskii, PhD

Alexey Nesvizhskii
Godfrey Dorr Stobbe Professor of Bioinformatics
Professor of Pathology
Professor of Computational Medicine and Bioinformatics and Program Director
Proteomic Research Facility, Medical School
[email protected]
Available to mentor
Alexey I Nesvizhskii, PhD
Alexey Nesvizhskii
Professor
  • About
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  • Qualifications
  • Center Memberships
  • Research Overview
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  • About

    Alexey Nesvizhskii, Ph.D., is the Godfrey Dorr Stobbe Professor of Bioinformatics. He received his M.S. degree (with honors) from St. Petersburg State Technical University, Department of Physics and Technology, St. Petersburg, Russia in 1995 and Ph.D. degree in Physics from the University of Washington, Seattle, USA, in 2001. He then completed post-doctoral training in the area of bioinformatics and proteomics in Ruedi Aebersold Lab at the Institute for Systems Biology in Seattle, Washington from 2001-2003, and joined the staff as a Research Scientist upon completion of training. He joined the faculty at the University of Michigan in November of 2005.

    Dr. Nesvizhskii has published more than 120 manuscripts in international scientific journals. In 2007, he was named a "Rising Young Investigator" by Genome Technology magazine (USA). Dr. Nesvizhskii serves as Senior Editor in the area of bioinformatics and biostatistics for international journals Proteomics and Proteomics-Clinical Applications, as Section Editor in the area of proteomics for BMC Bioinformatics, and on the Editorial Boards of Molecular and Cellular Proteomics. Dr. Nesvizhskii also serves on the Scientific Advisory Board for the Swiss Institute of Bioinformatics and on the Board of Directors for the US Human Proteome Organization. He is frequently invited to present his research at seminars and conferences in the United States and internationally, and to serve on grant review panels.

    As an enthusiastic educator, Dr. Nesvizhskii directs the NIH funded T32 Proteome Informatics of Cancer Training Program at the University of Michigan, and teaches graduate-level courses in the area of bioinformatics, proteomics, and systems biology. In addition, he has developed and taught several internationally recognized hands-on workshops and tutorials. His educational efforts have been recognized by several awards, including induction in the League of Educational Excellence at the University of Michigan Medical School.

    Links

    • https://www.nesvilab.org/

    Qualifications

    • Postdoctoral Fellow
      Institute for Systems Biology, Seattle, United States

    Center Memberships

    • Center Member
      Rogel Cancer Center

    Research Overview

    Dr. Nesvizhskii's research laboratory is working in the area of bioinformatics, proteomics, and systems biology. The computational tools previously developed by Dr. Nesvizhskii and his colleagues, such as Trans-Proteomic Pipeline (including PeptideProphet and ProteinProphet), PeptideAtlas, SAINT, CRAPome, and DIA-Umpire are among the most cited proteome bioinformatics tools and used by hundreds of laboratories worldwide. Over the past several years, he has extended his studies to other omics data such as RNA-Seq transcriptomics, with a focus on alternative splicing and sense-antisense transcription. His lab actively collaborates with technology developers, biologists, and clinical scientists on a variety of projects, including analysis protein interaction networks and complexes, label-free proteome quantification, integrative modeling of multi-omics data to reconstruct targetable pathways in cancer, and biomarker discovery. Dr. Nesvizhskii directs the Proteomics Resource Facility in the Department of Pathology which aims to provide cutting-edge proteomics capability to investigators at the University of Michigan.

    Recent Publications

    See All Publications
    • Journal Article
      MHC1-TIP enables single-tube multimodal immunopeptidome profiling and uncovers intratumoral heterogeneity in antigen presentation
      Bathini M, Bocaniciu D, Johnson FD, de Jong RCP, Yu F, Aloi VD, Kuiken MC, Mors JR, Giebel L, Champagne J, Bleijerveld O, Agami R, Dijkstra KK, Thommen DS, Nesvizhskii AI, Lindeboom RGH. Communications Biology, 2026 Dec 1; 9 (1): DOI:10.1038/s42003-026-09570-6
      PMID: 41571884
    • Journal Article
      Spatial distribution of the proteome in the human body and in cancers.
      Yue L, Jiang W, Li S, Luo M, Fan N, Zhan X, Sun R, Cheng H, Xue Z, Liu T, Zhou Q, Chen K, Lu T, Guo F, Li D, Ge W, Nie Z, Lyu M, A J, Wang Y, Chen Y, Fu Z, Xiang N, Li L, Yu F, Teo GC, Nesvizhskii AI, Wang M, Snyder MP, Collins BC, Xiao Q, Aebersold R, Xu F, Yang H, Zhang S, Han Y, Zhu Y, Ji Y, Li Y, Guo T. Nature, 2026 Jun 17; DOI:10.1038/s41586-026-10660-y
      PMID: 42310461
    • Journal Article
      Small-molecule binding-site discovery using silyl ether-enabled chemoproteomics.
      Ngo C, Takechi S, Sivakumar A, Villanueva M, Yu F, Ball AB, Rubio J, Biletch E, Burton NR, Boatner LM, Kim P, Turmon AC, Perumal N, Liesa M, Divakaruni AS, Nesvizhskii AI, Backus KM. Nat Chem, 2026 Apr 27; DOI:10.1038/s41557-026-02127-4
      PMID: 42045653
    • Journal Article
      A 15-layer multi-omics analysis of gastric cancer ecotypes provides therapeutic insights.
      Wang Y, Olsen LK, Jiao F, Wang C, Jiang KX, Dou Y, Hu Y, Jiao L, Chen W, Elizarraras JM, Khare P, Yu N, Zhu H, Chen L, Lih T-SM, Eser PÖ, Martins Rodrigues F, Shi Z, Zhang C, Yu C, Heiman DI, Liao Y, Shafer PW, Choi S, Choi JM, Savage SR, Jaehnig EJ, Lei JT, Sun Y, Peng C-W, Sun Z, Morenkov P, Zhang K, Geffen Y, Hess J, Kumar-Sinha C, Mani DR, Ding L, Getz G, Li QK, Omenn GS, Le A, Hostetter G, Newton CJ, Cai S, Ketchum KA, Robles AI, Mesri M, Minoo P, Camargo MC, An E, Hruban RH, Liu Z, Thiagarajan M, Dohlman AB, Jin RU, Huang L, Chan DW, Zhang H, Zhang B, Clinical Proteomic Tumor Analysis Consortium . Cell Rep Med, 2026 Apr 20; 102756 DOI:10.1016/j.xcrm.2026.102756
      PMID: 42013851
    • Preprint
      The inner nuclear membrane protein SUN1 regulates cullin-3 neddylation to maintain insulin signaling.
      Upadhyay KK, Yang Y, Shah A, Basrur V, Nesvizhskii AI, Brady GF. 2026 Apr 20; DOI:10.64898/2026.04.16.718478
      PMID: 42079055
    • Journal Article
      Integration of alternative fragmentation techniques into standard LC-MS workflows using a single deep learning model enhances proteome coverage.
      Levin N, Saylan CC, Lapin J, Demyanenko Y, Yang KL, Sidda J, Nesvizhskii AI, Wilhelm M, Mohammed S. Nat Methods, 2026 Mar 23; DOI:10.1038/s41592-026-03042-9
      PMID: 41872372
    • Journal Article
      Analysis of isobaric quantitative proteomic data using TMT-Integrator and FragPipe computational platform.
      Chang H-Y, Deng Y, Li R, Avtonomov D, Wen B, Haynes SE, da Veiga Leprevost F, Zhang B, Yu F, Nesvizhskii AI. Nat Commun, 2026 Mar 2; DOI:10.1038/s41467-026-70118-7
      PMID: 41771895
    • Journal Article
      iPepGen: a modular, immunopeptidogenomic analysis pipeline for discovery, verification, and prioritization of cancer peptide neoantigen candidates.
      Mehta S, Wagner R, Do KT, Johnson JE, Yu F, Jubenville T, Richards K, Coleman S, Popescu FE, Nesvizhskii AI, Largaespada DA, Jagtap PD, Griffin TJ. Genome Biol, 2026 Feb 25; DOI:10.1186/s13059-026-04012-2
      PMID: 41742304

    Featured News & Stories

    Kai Li
    Department News

    Advancing proteomics through computational innovation: Kai Li successfully defends dissertation

    For his dissertation, Li built diaTracer, a computational framework that helps researchers analyze data. In proteomics research, mass spectrometry is widely used to identify and quantify proteins in complex biological samples.
    Kevin Yang, PhD, headshot
    Department News

    Kevin Yang, Ph.D., developed new computational methods for protein studies

    On June 9, 2025, Dr. Yang defended his dissertation titled: “Holistic Integration of Deep Learning Models for Mass Spectrometry-Based Peptide Identification.” His mentor was professor Alexey Nesvizhskii.
    Department News

    K. Yang is first author in "Nature Communications"

    Congratulations to Kevin Yang (PhD student in the Nesvizhskii lab) on his first first-author publication in "Nature Communications!" 
    Brian Athey, Alexey Nesvizhskii, Charles Parkos
    Department News

    Dr. Alexey Nesvizhskii named inaugural Godfrey Dorr Stobbe Professor of Bioinformatics

    Dr. Alexey Nesvizhskii named inaugural Godfrey Dorr Stobbe Professor of Bioinformatics