Open to opportunities

Hassan Salarabadi

@hassansalarabadi

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PhD candidate in AI focused on interpretable ML for genomics, computer vision, and medical imaging.

Iran

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What I'm looking for

I’m looking for a research-focused role where I can develop interpretable deep learning systems—especially for computer vision and genomics—using modern frameworks, collaborate on publishable results, and keep learning from strong technical teams.

I am a PhD Candidate in Artificial Intelligence, building interpretable computational frameworks that connect Manifold Learning, DNA Language Models, and Graph Attention Networks for CRISPR-Cas off-target prediction and optimal sgRNA design pattern extraction.

My work also advances hybrid deep learning for medical image analysis and photonic crystal hotspot detection, with a research focus spanning computer vision (semantic segmentation, object detection, self-supervised learning) and interpretable AI (XAI). I collaborate through research publications and serve as an ad-hoc reviewer while mentoring others through curriculum design and student research guidance.

Experience

Work history, roles, and key accomplishments

Current

PhD Researcher

Current

University of Zanjan

Jan 2024 - Present (2 years 6 months)

Developed an interpretable computational framework for DNA sequence analysis integrating manifold learning and graph attention networks for CRISPR-Cas off-target prediction. Applied DNA language models and optimized hybrid deep learning models for medical image analysis and photonic crystal hotspot detection.

Python R PyTorch TensorFlow Keras scikit learn Pandas NumPy OpenCV Biopython Object Detection Transformers Transfer Learning CRISPR Cas Off Target Prediction Graph Attention Networks (GAT)Photonic Crystal Hotspot Detection

Education

Degrees, certifications, and relevant coursework

University of Zanjan

Ph.D., Artificial Intelligence

Activities and societies: Supervisors: Dr. Dariush Salimi (main) and Dr. Seyed Sahand Mohammadi Ziyabari (co-supervisor).

Ph.D. candidate in Artificial Intelligence at the University of Zanjan, with expected completion in 2026. Research focuses on an interpretable computational framework for accurate off-target prediction and optimal sgRNA design patterns using manifold learning, DNA language models, and graph attention networks.