cv
Overview
| Software | Python (PyTorch, TensorFlow), Git, LaTeX Blender, Mitsuba, Obj-C (basic), Metal (basic) |
| Languages | English (Fluent), Turkish (Native), German (Intermediate) |
Education
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2020-2024 PhD
University of Cambridge - Data-efficient Neural Appearance Manipulations
- Passed without corrections (examiners: Prof. Pietro Liò, Dr. Duygu Ceylan).
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2018-2019 MSc
The University of Edinburgh - Signal Processing and Communations, Distinction
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2014-2018 BSc
Bogazici University, Turkey - Electrical and Electronics Engineering, High Honors
Experience
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Oct'24 - Present Machine Learning Researcher
Apple - Contributing to research and development of GenAI features for image/video processing and enhancement for iPhone cameras.
- Bridging model development and product deployment, collaborating with cross-functional teams.
- Exploring novel approaches at the intersection of vision, graphics, and learning that involve GenAI model and data generation pipelines.
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Summer 2022 Applied Scientist Intern
Amazon Science - Developed a GAN-based image-to-image translation model incorporating a local histogram loss to improve skin tone fidelity.
- Designed custom face segmentation masks to guide learning and reduce visual artifacts.
- Presented experimental findings and final results to the applied science team.
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Nov'20 - Jan'22 Research Assistant
University of Cambridge, UK - Led the Cambridge side of a joint vision-based blackgrass detection project with the University of Lincoln.
- Co-authored a publication; contributed to model design, evaluation, and early commercialization exploration.
- Trained a ResNet classifier on a novel agricultural dataset as the final milestone of the startup-oriented initiative.
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Feb - Sept 2020 Software Developer
Freelance, Istanbul, Turkey. - Developed an Android app prototype using the Kivy framework in Python for a tech startup.
- Built custom UI widgets and implemented image-based features using hash-based image retrieval techniques.
- Managed codebase with Git and collaborated remotely with product stakeholders.
Scholarships and Awards
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2020 - 2024 - Computer Laboratory Studentship, full funding for my PhD research
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2023 - Graduate Student Travel Award, Queens’ College
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2018 - Dean’s High Honor Certificate, Bogazici University
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2009-2018 - Merit-based scholarship awarded for outstanding national exam performance. Ranked 185th among 2M+ students.
Selected Talks & Presentations
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November 2023 Oral Presentation, CVMP (ACM SIGGRAPH Europe)
- “One-shot Detail Retouching with Patch Space Neural Transformation Blending”
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October 2024 Poster, ECCV
- “Hypernetworks for Generalizable BRDF Representation”
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August 2022 Poster, ICCP
- “Patch-adaptive Transformation Blending for One-Shot Photo Retouching”
Research Interests
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Computer vision / graphics / photography
- Generative models for computer vision
(world and image/video models) - Scene understanding
(including appearance modeling and inverse rendering)
- Generative models for computer vision
Academic & Extracurricular Activities
| Mentor | WiCV Workshop @ CVPR 2025 |
| Reviewer | WiML Workshop @ NeurIPS 2024, WiCV Workshop @ ECCV 2024 |
| Hackathon participant | 3rd place in zero-shot diffusion image restoration challenge, organised by @ Alan Turing Institute, July 2024. |
| Women@CL | Co-chairs for GirsWhoML workshops and Oxbridge Women in Computer Science Conference @ University of Cambridge. |