Summary
Hadi Ghahremannezhad is a Machine Learning Engineer with a PhD in Computer Science and nine years of experience applying AI to healthcare, remote sensing, and public safety. At Memorial Sloan Kettering he builds clinical-grade pipelines—combining PyTorch-based automatic tumor segmentation, radiomics, and explainable EHR risk models deployed on SageMaker—to inform surgical decisions for colorectal liver metastases and liver growth prediction. Previously he developed real-time edge AI for traffic safety (a U.S. DOT SBIR Phase I winner) and led drone-based search-and-rescue systems that advanced in a NIST challenge, demonstrating a knack for bringing research into field-ready systems. Comfortable across Python, C++, OpenCV and cloud tooling, he blends rigorous statistical modeling with practical feature engineering and clinician collaboration to ensure clinical relevance. A less obvious strength is his track record of boosting small-object detection performance in remote sensing by leveraging tailored architectures and semi-supervised labeling pipelines.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at K. N. Toosi University of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at New Jersey Institute of Technology
Nanodegree, Artificial Intelligence, Nanodegree, Artificial Intelligence at Udacity
Master’s Degree, Computer Software Engineering, Master’s Degree, Computer Software Engineering at Shahid Beheshti University
Persian, English