Onur Dogan

I am working as Machine Learning Engineer at Lifemote, research and development of machine learning solutions for telecommunications applications. Also, I am a MSc Computer Science & Engineering Student at Sabancı University.

As part of my master's thesis, I am working on CoFINE: A Coarse-to-Fine Self-Supervised Algorithm for Discovering Fine-Grained Drosophila Behaviours, under supervision of Asst.Prof. Oznur Tastan & Mehmet Keles from John Hopkins University.

Apart from my thesis, I am researching NLP applications in Computational Biology, focusing on Sequential Models, Protein Language Models (ESM2-Language models for protein sequences), Interpretability in NLP & LLMs. My intent is to develop more robust and interpretable machine learning systems to achieve fully intelligent systems that go beyond the data.

Prior to start pursuing MSc, I was member of Computational Biology Group and lucky to be supervised by Prof. Hilal Kazan. I worked on the development of computational methods for analyzing RNA-seq and scRNA-seq datasets under the supervision of Prof. Hilal Kazan.

Apart from my research positions, I had an amazing chance to work with Can Kavaklioglu as Junior ML Engineer in GrainFox. I also worked in John Snow Labs as Junior Data Scientist and in Turkish Aerospace Industries as Software Engineer Intern.

 /  CV  /   / 

Happy to share my latest CV on request.

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Publications and Conference Presentations
SciTuna: Single Cell RNA-seq data integration tool using network alignment
Aissa Houdjedj, Yacine Marouf, Mekan Myradov, Onur Dogan, Burak Onur Erten, Oznur Tastan, Cesim Erten, Hilal Kazan
  • Published, 2025
  • Sex-biased Expression of Neuroimmune Guidance Cues in Cardiovascular Diseases
    Yacine Marouf, Onur Dogan, Ernest Diez Benavente, Gerard Pasterkamp, Hester M. den Ruijter, Janine van Gils, Katey Rayner, Hilal Kazan
  • Conference Presentation: Presented at (ERA-CVD’22, Latvia, Sept 19-20, 2022) & (HIBIT’22, Turkey, Oct 20-21, 2022)
  • Harmony in Diversity: Exploring Eclectic Chair Designs Through Deep Neural Networks Analysis in Interior Design Education
    Mehmet Uğur KAHRAMAN*, Süleyman Onur DOGAN*, Sevgi ŞENGÜL AYAN, Yaren ŞEKERCİ, Ferhat KOYUNCU, Hakan Bal
  • Accepted by New design ideas, 2025

  • Website template credits to Jon Barron.