Dejan Gagoski

dejan.gagoski@einsteinmed.edu | LinkedIn

Keywords: Antibody engineering, Data analysis and ML, Immunotherapies 

At the Lai lab, I am combining protein display-based selections and deep sequencing for antibody and antigen development.

Previously, I worked on developing methodologies for higher throughput of protein characterization, including cell-free protein expression, super-resolution microscopy, protein selections and deep sequencing.

I look forward to applying the all the used methods for more efficient development of antibodies and antigens for immunizations and immunotherapies. Outside the lab, I enjoy cultural events, socializing, and enjoying all that a big city can offer.

Previous Education

Ph.D. Synthetic Biology, Enzymes, & Analytical Biochemistry, University of Queensland, Brisbane, Australia, 2016

Dipl. Biology, University of Kassel, Kassel, Hesse, Germany, 2010

Selected Publications

  • Gagoski D, Rube TH, Melo L, Rastogi C, Li X, Voleti R, Shah NH and Bussemaker HJ; Accurate affinity models for SH2 domains from peptide binding assays and free-energy regression; Pro. Sci. 2025 Nov; doi: 10.1002/pro.70317.

  • Li A, Voleti R, Lee M, Gagoski D, Shah NH; High-throughput profiling of sequence recognition by tyrosine kinases and SH2 domains using bacterial peptide display; Elife 2023 Mar; doi: 10.7554/eLife.82345.

  • Ayva CE, Fiorito MM, Guo Z, Edwardraja S, Kaczmarski JA, Gagoski D, Walden P, Johnston WA, Jackson CJ, Nebl T, Alexandrov K; Exploring Performance Parameters of Artificial Allosteric Protein Switches; J Mol Biol 2022; doi: 10.1016/j.jmb.2022.167678.