Hamed

Azizollahi

Data Scientist - Neuro Scientist - Machine Learning Engineer

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About Me

Hello world! I'm Hamed, a passionate Data Scientist and Machine Learning Engineer devoted ​to transforming healthcare through the power of technology. With a solid foundation in ​both computer science and biomedical, I thrive at the intersection of technology and ​medicine, driving forward innovations that matter.


My academic adventure commenced with a Bachelor's in Electrical Engineering, followed by ​a Master's and Ph.D. in Neuroscience-Biomedical Engineering from the University of Picardie ​Jules Verne, Amiens, France. This educational trajectory endowed me with a distinctive lens ​through which I engage with medical conundrums, armed with a technological edge. Over ​the years, I've refined my prowess in biomedical signal processing and medical image ​analysis, collaboratively pioneering advancements in notable Medtech ventures.


Currently, I am working as Lead Data Science at Clarity Tech, where I collaborate with a ​multidisciplinary team to develop AI-driven solutions that are shaping the future of ​personalized medicine.


I’ve had the privilege of leading projects that leveraged machine learning to enhance ​medical imaging, improve diagnostic accuracy, and predict patient disease trajectories. ​With a toolkit rich in Python, R, TensorFlow, and PyTorch, I love diving into complex ​datasets, uncovering insights that drive better patient outcomes.


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Introduction to Graph Neural

network

Deep Sequence Modeling

AI Project Management

Gradient Boosting

XGboost HyperParameters Tuning

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Effects of head model accuracy on neonates EEG source analysis

Epileptic Seizure Detection using self supervised graph neural network (GNN)

PROJECTS

Epileptic Seizure Detection in Clinical EEGs Using an XGboost-based Method

Activity recognition from acceleration data based on discrete cosine transform and SVM

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Publication

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