Kiarash Taheri
Machine Learning Intern @Djavad Mowafaghian Centre For Brain Health
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WORK HISTORY
Machine Learning Intern @Djavad Mowafaghian Centre For Brain Health
Automated MRI image analysis using Python and Linux/Bash commands Developed a random forest model using scikit-learn that predicts an MRI image sequence with a 98% accuracy 98% Improved searching algorithms to more efficiently traverse directories and extract information from over one million MRI files and shape it into a training set for machine learning models Utilized TensorFlow, Keras, and Numpy to develop a 3D convolution neural network that identifies motion artifacts in MRI images with a 94% accuracy Utilized C and Pyhton to optimize brain extraction tools which increased usability and efficiency by 50% for researchers at the lab
EDUCATION
The University of British Columbia
Bachelor of Applied Science - BASc
Sentinel Secondary School
High School Diploma
ABOUT KIARASH TAHERI
I am a fourth-year biomedical engineering student at UBC, who is extremely interested in the programming and CAD aspects of biomedical engineering. I have specialized in the Systems and Signals stream due to my passion for electrical engineering and software development. I am fascinated by data analysis, machine learning, artificial intelligence, and working for an impact-focused company.
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