CV

Education

• M.Sc. in Bioinformatics, Saarland University (Oct 2024 – Jun 2026), Saarland, Germany
  • Grade: Gut
  • Relevant Coursework: Elements of Machine Learning, Single-cell Genomics, Neural Networks, Computational Epigenomics, Machine Learning Tools for Genomics and Proteomics, Data Networks, C++ Programming
  • Master’s Thesis (ongoing): Building Bias-Resilient Multimodal AI Models for Melanoma
• B.Sc. in Molecular Biology and Genetics, Boğaziçi University (Jan 2024), Istanbul, Turkey
  • Graduated with Honors
  • Relevant Coursework: Bioinformatics, Biostatistics, Artificial Intelligence in Medicine, Data Structures and Analysis, Functional Genomics

Work experience

• Research Assistant (May 2025 – Present)
  • Interdisciplinary Institute for Societal Computing, Saarland University
  • Developing a scalable and secure geo-intelligence application that processes user-uploaded geographic shapefiles to extract structured data from Google Maps API and complementary sources.
  • Delivering dynamic, location-specific insights (live traffic, visit trends, reviews) through integrated data pipelines.
  • Optimized performance by implementing a priority queue system, improving high-volume data handling efficiency.
• Full-stack Data Scientist (Jun 2024 – Oct 2024)
  • Bozkurt Lab, Emory University (Remote)
  • Led the development of an interactive global map for medical AI ethics, defining UX and core features with researchers.
  • Designed a scalable AI-driven web application (Next.js + Prisma) visualizing 109 global AI ethics policies.
  • Deployed on Vercel PostgreSQL with automated pipelines for seamless updates and optimized load times.
• Marketing Specialist (Jan 2024 – Jul 2024)
  • Thread In Motion, Istanbul, Turkey
  • Developed data-driven marketing strategies using AI-based customer segmentation, increasing website views by 50%.
  • Conducted A/B testing to improve conversion rates by 15% and ROI by 10%.
  • Collaborated with engineering teams to integrate AI-powered analytics into campaign strategies.

Research experience

• Undergraduate Research Assistant (Aug 2023 – Apr 2024)
  • University of Southern California (Remote)
  • Developed predictive ML models for sepsis mortality risk, achieving 90.09% accuracy.
  • Generated actionable insights for potential AI-based diagnostic applications.
• Undergraduate Research Assistant (Jun 2023 – Oct 2023)
  • Harvard Medical School (Remote)
  • Enhanced robustness of MRI reconstruction pipelines with Snopy + TensorFlow integration, improving speed by ~20%.
  • Established reproducible pre- and post-processing workflows.
• Undergraduate Research Assistant (Feb 2022 – Aug 2023)
  • ETH Zurich (Remote)
  • Developed Bash automation scripts for 300+ sequencing samples, cutting preprocessing time by 20%.
  • Benchmarked 5+ genomics tools and proposed workflow optimizations.

Skills

• Machine Learning & AI: Deep Learning (PyTorch, TensorFlow, Keras), Classical ML (Scikit-learn), Computer Vision, Multimodal Learning
• Data Science & Engineering: Python (NumPy, Pandas, Flask), R, SQL (Postgres), C++, Bash, HPC Systems
• Cloud & Analytics: Google Cloud, Docker, Tableau, Power BI

Projects

• Saarbrücken Eats — Interactive SQL + Google Maps dashboard enabling faster ( +25% ) POI search on Saarland campus. Link
• Scalable DNA-Seq Data Pipeline — Automated PacBio single-end data analysis using BLEND and Snakemake. Link
• Cancer Diagnosis via Deep Learning — Multimodal PET-CT model predicting lymph-node metastasis (80% accuracy). Link

Publications & Conferences

• Mapping Ethical Guidelines for AI in Healthcare: A Global Perspective — First Author, Studies in Health Technology and Informatics, IOS Press (PubMed)
• Assessing Genomic Reproducibility of Read Alignment Tools — Preprint, bioRxiv (Link)
• DNA Methylation Analysis of Healthy and Cancerous Tissues — Bioinformatics & Computational Genomics Conf., Moldova (2023)
• Protein Profile of Brain Endothelial Cells — Sabancı University Program for Undergraduate Research (2021)

Service and Leadership

• AI Safety Saarland (AISS) — Co-founder & Marketing Lead: Organized interdisciplinary programs, built brand identity, and coordinated mentorship network at Saarland University.
• Member of multiple student research communities across AI, Bioinformatics, and Ethics.