Experience
Gebze Technical University – Bioengineering (2023 – cont.)
Research & Academic Interests: Neuroscience, Neurochemistry, Neurotechnology, Biomedical Sciences, Biophotonics
Research & Academic Interests: Neuroscience, Neurochemistry, Neurotechnology, Biomedical Sciences, Biophotonics
Skills
o Programming & Data Science: Python (NumPy, Pandas, Matplotlib)
o Deep Learning & AI: Basic CNN Architectures, Transfer Learning (MobDeep Learning & AI:ileNetV2), Explainable AI (Grad-CAM)
o Laboratory & Research: Basic Molecular Biology Techniques, Biochemistry Lab Protocols, Literature Review
o Soft Skills: Scientific Communication, Neuropsychology Writing, Simplification of Complex Concepts
o Languages: English (Upper-Intermediate), Turkish (Native)
o Deep Learning & AI: Basic CNN Architectures, Transfer Learning (MobDeep Learning & AI:ileNetV2), Explainable AI (Grad-CAM)
o Laboratory & Research: Basic Molecular Biology Techniques, Biochemistry Lab Protocols, Literature Review
o Soft Skills: Scientific Communication, Neuropsychology Writing, Simplification of Complex Concepts
o Languages: English (Upper-Intermediate), Turkish (Native)
Projects & Presentations
o Basic CNN Model for Classification of Brain Tumor MRI Scans
Description: Developed a multiclass deep learning model to classify brain tumor MRI scans into four categories using baseline CNN and MobileNetV2 (Transfer Learning). Implemented an end-to-end pipeline including data preprocessing, model training, and performance evaluation. Visualized model decision-making regions using Grad-CAM to ensure explainability.
o Light-Guided GABAergic Modulation Using UPCNs
Description: Designed a theoretical framework for non-invasive neuromodulation using collimated NIR light targeting the olfactory nerve pathway. Synthesized interdisciplinary literature on biophotonics and neurotechnology to propose a novel approach for epilepsy control.
Course: Fundamentals of Bioengineering – BENG101
Keywords: Non-invasive neuromodulation, collimated NIR light, olfactory nerve pathway, epilepsy control
Description: Developed a multiclass deep learning model to classify brain tumor MRI scans into four categories using baseline CNN and MobileNetV2 (Transfer Learning). Implemented an end-to-end pipeline including data preprocessing, model training, and performance evaluation. Visualized model decision-making regions using Grad-CAM to ensure explainability.
o Light-Guided GABAergic Modulation Using UPCNs
Description: Designed a theoretical framework for non-invasive neuromodulation using collimated NIR light targeting the olfactory nerve pathway. Synthesized interdisciplinary literature on biophotonics and neurotechnology to propose a novel approach for epilepsy control.
Course: Fundamentals of Bioengineering – BENG101
Keywords: Non-invasive neuromodulation, collimated NIR light, olfactory nerve pathway, epilepsy control
Courses & Certifications
o “Introduction To Deep Learning” – AI Business School (2025)
o “Akbank Introduction to Deep Learning Project Bootcamp” – AI Business School (2025)
o “EEG/ERP Analysis with Python and MNE” – Udemy (in progress)
o “Akbank Introduction to Deep Learning Project Bootcamp” – AI Business School (2025)
o “EEG/ERP Analysis with Python and MNE” – Udemy (in progress)
Activities
o Writer, Student Journal of GTU BIOS Student Club
Popular science writing in Neuropsychology, simplifying complex literature for general audience.
o Event Organizer, GTU CytoGate Student Club
Popular science writing in Neuropsychology, simplifying complex literature for general audience.
o Event Organizer, GTU CytoGate Student Club
Interests
o Biophysics & Theoretical Biology: Exploring complex biological systems, from plant physiology to quantum effects in living organisms.
o Philosophy & Ethics: Reading extensively on epistemology, ethics of technology, and the philosophy of mind.
o Music & Acoustics: Interest in structural analysis of classical compositions.
o Philosophy & Ethics: Reading extensively on epistemology, ethics of technology, and the philosophy of mind.
o Music & Acoustics: Interest in structural analysis of classical compositions.