Onur Dogan
I am working as Machine Learning Engineer at Lifemote.
Also, I am a MSc Computer Science & Engineering Student at Sabancı University.
As part of my master's thesis, I am working at the intersection of Deep learning and Computational Biology, happily supervised by Asst.Prof. Oznur Tastan. My research includes Protein Language Models (PLMs), Protein Sequence Models, Fine-grained image retrieval, interpretability in NLP & LLMs.
My intend is to develop more robust and interpretable machine learning systems to achive fully intelligent systems that goes 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.
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Publications and Conference Presentations
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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
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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)
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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
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