CV

Education

BSc in Computer Science and Computational Biology, the Hebrew University of Jerusalem, 2006-2009
MSc in Computer Science and Computational Biology, the Hebrew University of Jerusalem, 2009-2010
PhD in Computer Science and Computational Biology, the Hebrew University of Jerusalem, 2010-2018
- Supervisors: Prof. Liran Carmel and Prof. Ariel Darvasi

Work experience

The Hebrew University of Jerusalem
- 2009 – 2014: Teaching assistant, the Alexander Silberman Institute of Life Science
- 2010 – 2013: Lecturer, School of Computer Science and Software Engineering
2018 – 2019: Algorithm Developer, studying speech recognition using deep learning, OrCam Technologies
2019 – 2023: Lecturer, School of Software Engineering and Computer Science, JCE
2023 - now: Senior Lecturer, School of Software Engineering and Computer Science, JCE

Honors

Certificate of Teaching Excellence for the academic year 2019-2020, JCE
Certificate of Teaching Excellence for the academic year 2020-2021, JCE
Certificate of Outstanding Excellence for the academic year 2020-2021, JCE
Certificate of Teaching Excellence for the academic year 2021-2022, JCE
Certificate of Outstanding Excellence for the academic year 2021-2022, JCE
Certificate of Outstanding Excellence for the academic year 2022-2023, JCE

Publications

The role of reverse transcriptase in intron gain and loss mechanisms Permalink

Noa E. Cohen, Roy Shen, Liran Carmel, The Role of Reverse Transcriptase in Intron Gain and Loss Mechanisms, Molecular Biology and Evolution, Volume 29, Issue 1, January 2012, Pages 179–186, https://doi.org/10.1093/molbev/msr192

Assessing predictions of the impact of variants on splicing in CAGI5 Permalink

Mount SM, Avsec Ž, Carmel L, Casadio R, Çelik MH, Chen K, Cheng J, Cohen NE, Fairbrother WG, Fenesh T, Gagneur J, Gotea V, Holzer T, Lin CF, Martelli PL, Naito T, Nguyen TYD, Savojardo C, Unger R, Wang R, Yang Y, Zhao H. Assessing predictions of the impact of variants on splicing in CAGI5. Hum Mutat. 2019 Sep;40(9):1215-1224. doi: 10.1002/humu.23869. Epub 2019 Aug 19. PMID: 31301154; PMCID: PMC6744318.

An open-source computational tool for measuring bacterial biofilm morphology and growth kinetics upon one-sided exposure to an antimicrobial source Permalink

Gingichashvili, S., Steinberg, D., Sionov, R.V. et al. An open-source computational tool for measuring bacterial biofilm morphology and growth kinetics upon one-sided exposure to an antimicrobial source. Sci Rep 12, 16125 (2022). https://doi.org/10.1038/s41598-022-20275-8

Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance Permalink

Alkhatib, H., Rubinstein, A.M., Vasudevan, S. et al. Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance. Genome Med 14, 120 (2022). https://doi.org/10.1186/s13073-022-01121-y

Deep learning method for pinhole array color image reconstruction Permalink

Danan E, Cohen NE, Schwarz A, Shemer A, and Danan Y, Deep learning method for pinhole array color image reconstruction, Opt. Lett. 48, 1116-1119 (2023)

Image Reconstruction Improvement of Variable Coded Aperture Using Deep Learning Method for Gamma and Lensless Imaging Applications Permalink

A. Schwarz, A. Shemer, E. Danan, N. E. Cohen and Y. Danan, "Image Reconstruction Improvement of Variable Coded Aperture Using Deep Learning Method for Gamma and Lensless Imaging Applications," 2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), Munich, Germany, 2023, pp. 1-1, doi: 10.1109/CLEO/Europe-EQEC57999.2023.10232678.,

CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods Permalink

The Critical Assessment of Genome Interpretation Consortium. CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods. Genome Biol 25, 53 (2024). https://doi.org/10.1186/s13059-023-03113-6

Teaching

See Teaching section.

Noa Cohen

CV