As a Biomedical Engineer and AI researcher, I specialize in deep learning for medical imaging. I designed Node-U-Net, a lightweight attention-guided network for pulmonary nodule segmentation on the LIDC-IDRI dataset, achieving high accuracy with significantly reduced computational cost. My work demonstrates strong feature discrimination for small nodules and a compelling balance of performance and efficiency. I am proficient in PyTorch and the full medical AI pipeline—from data preprocessing to model evaluation—and I am passionate about translating research into clinically deployable solutions. I have an ongoing manuscript on Node-U-Net under review at the Journal of Medical Systems (2026), and I’m keen to advance AI-driven diagnostics in healthcare through rigorous experimentation and thoughtful deployment.

YAREN ASLI ASLAN

As a Biomedical Engineer and AI researcher, I specialize in deep learning for medical imaging. I designed Node-U-Net, a lightweight attention-guided network for pulmonary nodule segmentation on the LIDC-IDRI dataset, achieving high accuracy with significantly reduced computational cost. My work demonstrates strong feature discrimination for small nodules and a compelling balance of performance and efficiency. I am proficient in PyTorch and the full medical AI pipeline—from data preprocessing to model evaluation—and I am passionate about translating research into clinically deployable solutions. I have an ongoing manuscript on Node-U-Net under review at the Journal of Medical Systems (2026), and I’m keen to advance AI-driven diagnostics in healthcare through rigorous experimentation and thoughtful deployment.

Available to hire

As a Biomedical Engineer and AI researcher, I specialize in deep learning for medical imaging. I designed Node-U-Net, a lightweight attention-guided network for pulmonary nodule segmentation on the LIDC-IDRI dataset, achieving high accuracy with significantly reduced computational cost. My work demonstrates strong feature discrimination for small nodules and a compelling balance of performance and efficiency.

I am proficient in PyTorch and the full medical AI pipeline—from data preprocessing to model evaluation—and I am passionate about translating research into clinically deployable solutions. I have an ongoing manuscript on Node-U-Net under review at the Journal of Medical Systems (2026), and I’m keen to advance AI-driven diagnostics in healthcare through rigorous experimentation and thoughtful deployment.

See more

Experience Level

Expert
Expert
Expert
Intermediate

Language

English
Advanced
Turkish
Fluent

Work Experience

Biomedical Engineer at Renova Medical Engineering
November 1, 2025 - February 1, 2026
Developed a data-driven monitoring system for MRI liquid helium levels to minimize downtime across client sites; conducted technical specification analysis and market benchmarking to support evidence-based procurement decisions; managed NDA processes and product registration workflows with international medical device manufacturers.
Intern at Biyodemi
August 1, 2025 - September 1, 2025
Performed fault analysis and repair of biomedical devices including electronic board diagnostics; participated in technical discussions with international medical device manufacturers on service agreements and product support.
Surgical Robotics Intern at Cordamed
September 1, 2024 - October 1, 2024
Facilitated live robotic surgery training sessions on the da Vinci system (wet lab, animal models) for surgeon education; provided clinical application support to surgeons on the console and arm manipulation; contributed to medical congress preparation and product demonstrations.
Clinical Engineering Intern at Koç University Hospital
July 1, 2024 - August 1, 2024
Observed clinical engineering operations including calibration, maintenance, and failure management of hospital equipment; supported digital recordkeeping and safety-focused device tracking within the department.

Education

B.Sc. Biomedical Engineering at Beykent University
January 1, 2021 - January 1, 2025

Qualifications

Deep Learning Specialization
January 11, 2030 - February 28, 2026
Agile Project Management
January 11, 2030 - February 28, 2026

Industry Experience

Healthcare, Life Sciences, Software & Internet, Professional Services