Neuroscientist |
Machine Learning Researcher |
Passionate about AI |

šŸŖ„ Driven by a passion for understanding the mind and building intelligent systems, I combine my neuroscience background with machine learning expertise to tackle challenging problems in areas like consciousness, physiology, and neural networks.

šŸŖ„ With over a decade of experience in neuroscience, biology, and programming, I bring a unique blend of scientific rigor and technical proficiency to my work. Iā€™m adept at translating intricate biological phenomena into powerful data-driven solutions.


šŸ’” Visiting Scholar, Machine Learning at Recurse Center (2023 - Present): Mastered fundamental ML tools and gained practical experience in advanced deep learning and NLP techniques, further enhancing my ability to bridge the gap between neuroscience and artificial intelligence.

šŸ’” Research Scientist, Neuroscience at Columbia University (2022 - Present): Developed and deployed high-precision machine learning models to analyze the influence of physiological signals (e.g., heart rate, respiration) on brain activity and conscious perception, shedding light on the intricate connections between body and mind.

šŸ’” Ph.D. in Cognitive Neuroscience from Max Planck Institute (2017 - 2021): Led groundbreaking research on the relationship between cardiac signals and somatosensory perception, resulting in 9 published papers with 350+ citations and contributing to a deeper understanding of how our internal state shapes our sensory experience.

Technical Skills

āš™ļø Machine Learning: Python, scikit-learn, PyTorch, TensorFlow, Numpy, Pandas, Matplotlib, Seaborn

āš™ļø Neuroscience: EEG, ECG, EMG, MRI, electrophysiology, respiration, electrical stimulation, TMS

āš™ļø Programming: Python, R, Matlab, Git, VSCode

Beyond the code

šŸ‘‰ Award-winning researcher: Otto-Hahn Medal (2023), Walter Benjamin Fellowship (2022-2024), Research Excellence Award (2022), Young Scientist Award (2020), Studienstiftung Doctoral Study Award (2019-2022)

šŸ‘‰ Experienced mentor and team player: Guided graduate students in statistics and research techniques at Max Planck School of Cognition, while fostering collaborative environments to solve complex problems with diverse teams of scientists.

šŸ‘‰ Fluent in: English, Turkish, German

Excited to leverage my expertise in AI and neuroscience to:

šŸš€ Design and develop innovative intelligent systems

šŸš€ Uncover the hidden patterns in complex data

šŸš€ Bridge the gap between brain and machine

Feel free to reach out for a deeper conversation about my work and how I can contribute to your projects!