About Me
Hi there, it's nice to see you!
I'm Birkan, and I'm a computational biologist specialized at the intersection between biomedical informatics, computer science, and cancer biology. My research interests are in (1) developing and employing cutting edge, biologically relevant deep learning models, (2) employing such models to guide experiments to success and reduce costs, and (3) improving patient outcomes and contributing to existing deep learning theory in biomedical and computer science research.
I'm always fascinated with therapuetics potential of deep learning models and bioinformatics for improving our understanding in disease biology. When designing deep learning models and computational pipeline, I prioritize three points: (1) reproducibility, (2) interpretability, and (3) biological relevance of models and datasets. I'm very detail oriented, so I enjoy data mining and reading implementation details for software packages and deep learning models.
I've obtained my doctorate in biomedical sciences from the Ohio State University on May 2025 with specializations in biomedical informatics and cancer biology. My main dissertation work was in synthetic lethality, and bridging the knowledge gap between synthetic lethality in silico and in vitro experiments. I've addressed three large gaps in my research: synthetic lethality (1) curation, (2) identification, and (3) validation. You can always access my dissertation at the following link.
My hobbies including creative writing, hiking, painting, playing games, watching tv shows and movies, and working out!
If you want to reach out, please use the form at the bottom of the page.
See you around!