Doktora: Makine Öğrenmesi, Hesaplamalı Biyoloji, Biyoinformatik (University of Nottingham (Birleşik Krallık))

Yüksek Lisans: Biyoinformatik (Aberystwyth Univesity (Birleşik Krallık))

Lisans: Biyomühendislik (Ege Üniversitesi)

Hesaplamalı Biyoloji, Biyoinformatik, Makine Öğrenmesi, Derin Öğrenme, Biyoistatistik, Veteriner Bilimleri, Zootekni ve Hayvancılık.

İletişim Bilgileri

Seçilmiş Yayınlar

1. Esener, N., Guerra, A. M., Giebel, K., Lea, D., Green, M. J., Bradley, A. J. and Dottorini, T. (2021) 'Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis', PLOS Computational Biology, 17(6), pp. e1009108. https://doi.org/10.1371/journal.pcbi.1009108.
2. Esener, N., Maciel-Guerra, A., Giebel, K., Lea, D., Green, M. J., Bradley, A. J. and Dottorini, T. (2021) 'Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning', Scientific Reports, 11(1), pp. 7736. https://doi.org/10.1038/s41598-021-87300-0.
3. Esener, N., Green, M. J., Emes, R. D., Jowett, B., Davies, P. L., Bradley, A. J. and Dottorini, T. (2018) 'Discrimination of contagious and environmental strains of Streptococcus uberis in dairy herds by means of mass spectrometry and machine-learning', Scientific Reports, 8(1), pp. 17517.  https://doi.org/10.1038/s41598-018-35867-6.
4. Erduran, H., Esener, N., Keskin, İ., & Dağ, B. (2024). Machine learning-based early prediction of growth and morphological traits at yearling age in pure and hybrid goat offspring. Tropical Animal Health and Production, 56(8), 262. https://doi.org/10.1007/s11250-024-04145-1.