Noa Cohen

Dr. Noa Cohen

Senior Lecturer

Head of Computer Science Department, School for Software Engineering and Computer Science


  1. 2019 – present: Head of the Computational Biology lab (
  2. Member of committees: academy-industry conference committee (2021), library committee (2021-2022), teaching committee (2021-present), internationality committee (2022-present), excellence and innovation in teaching committee (2022-present)
  3. 2022 – present: Innovation Coordinator of the School for Software Engineering and Computer Science
  4. Coordinator of departmental colloquiums\seminars, School for Software Engineering and Computer Science
  5. Oct 2023 – present: Head of Computer Science Department

Key Words:

Bioinformatics, Computational Biology, Data Science, Machine Learning, Cancer Research, Biofilm, Genetics, Microbial Genetics and Genomics

Research Interests:

  • Development of user-friendly open-source tools for medical research
  • Personalized medicine in cancer research
  • The effect of antimicrobial agents on biofilm’s structure and kinetics

Representative Publications:

  1. Schwarz A, Shemer A, Danan E, Cohen NE, Danan Y. Image Reconstruction Improvement of Variable Coded Aperture Using Deep Learning Method for Gamma and Lensless Imaging Applications. 2023 doi:10.1109/cleo/europe-eqec57999.2023.10232678.
  2. Danan E, Cohen NE, Schwarz A, Shemer A, Danan Y. Deep learning method for pinhole array color image reconstruction. Opt Lett 2023; 48. doi:10.1364/ol.477693.
  3. Alkhatib H, Rubinstein AM, Vasudevan S, Flashner-Abramson E, Stefansky S, Chowdhury SR, Sangita Roy Chowdhury, Oguche S, Peretz-Yablonsky T, Granit A, Granot Z, Ben-Porath I, Sheva K, Feldman J, Cohen NE, Meirovitz A, Kravchenko-Balasha N. Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance. Genome Med 2022; 14. doi:10.1186/s13073-022-01121-y.
  4. Gingichashvili S, Steinberg D, Sionov RV, Feuerstein O, Cohen NE. An open-source computational tool for measuring bacterial biofilm morphology and growth kinetics upon one-sided exposure to an antimicrobial source. Sci Rep 2022; 12. doi:10.1038/s41598-022-20275-8.
  5. Mount SM, Avsec Ž, Carmel L, Casadio R, Çelik MH, Chen K, Cheng J, Cohen NE et al. Assessing predictions of the impact of variants on splicing in CAGI5. Hum Mutat 2019; 40. doi:10.1002/humu.23869.
  6. Cohen NE, Shen R, Carmel L. The role of reverse transcriptase in intron gain and loss mechanisms. Mol Biol Evol 2012; 29. doi:10.1093/molbev/msr192.
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