MASOOME REZAEI

646-***-**** ad1lda@r.postjobfree.com 415 West, 118th street, New York, NY 10027 www.linkedin.com/in/masoome-rezaei/ EDUCATION

Master of Science in Biomedical Engineering, GPA: 3.3/4.0 Coursework: Deep Learning in Biomedical Engineering, Brain-Computer Interfaces Lab, Comp Neuro (Circuits in Brain), Biomechanics of Musculoskeletal Soft Tissue

Columbia University, New York, NY Expected Dec 2023 Bachelor of Science in Software Engineering, 3.8/4.0 Coursework: Software Design and Development, Management of team resources, Data Science, Data Mining. Teaching Assistant Roles: Intro to Algorithms

Khorasan University, Mashhad, Iran May 2010

EXPERIENCE

• Automated Electromechanical Wave Imaging using deep learning (Pytorch, Tensorflow)

• Enhanced an automated algorithm for zero-cross detection in Echocardiographic Wall Imaging (EWI) data. (python, Matlab) Ultrasound Elasticity Imaging Laboratory, Columbia University, New York, NY Jun 2023 - Present Research Assistant

• Implemented and fine-tuned the UNet architecture in PyTorch for precise segmentation of Intracranial Hemorrhage (ICH) in CT scans

(Pytorch)

• Employed data augmentation and pre-processing techniques to improve model robustness and adaptability to diverse clinical datasets.

(Pytorch)

• Developed and implemented a state-of-the-art 2D Transformer-based model for automated brain tissue segmentation in MRI scans. Zuckerman Institute, Columbia University, New York, NY Jan 2023 - Jun 2023 Deep learning Research Assistant

• Modified and fine-tuned Convolutional neural network tools for accurately segmenting the Left Ventricle and Aortic Root. (3D Slicer, Pytorch)

• Proficiently utilized 3D Slicer for precise Aorta segmentation in MRI scans, ensuring accurate anatomical delineation for clinical analysis.

Brigham and Women's Hospital, Harvard Medical School, Boston, MA Aug 2022 - Nov 2022 Research Assistant volunteer

• Developed a desktop platform for advanced audio calling and text messaging based on VOIP/SIP using UWP

• Developed custom entities, fields, and workflows in CRM 365 to enhance data tracking and streamline sales and customer service operations.

CFBTEL Telecommunications Company, San Diego, CA Sep 2020 - Sep 2022 Software Developer

• M Vakili, M Rezaei. "Incremental learning techniques for online human activity recognition." arXiv preprint arXiv:2109.09435.

• M Vakili, M Ghamsari, M Rezaei. "Performance analysis and comparison of machine and deep learning algorithms for IoT data classification." arXiv preprint arXiv:2001.09636 (2020). PUBLICATIONS

SKILLS

Programming Languages: Python, C++, C#, SQL, .NET

Machine Learning: Data preprocessing, Model training and evaluation, Neural Networks Data Analysis: Statistical analysis, Data visualization, Interpretation of complex datasets Research: Literature review, Experimental design, Data collection and interpretation Technical Tools:: Jupyter Notebooks, TensorFlow, Keras, Pandas, NumPy, Matplotlib, Matlab, Simulink Interdisciplinary Knowledge: Neuroscience fundamentals, Kinematics concepts, Clinical research methodologies

• Member, Columbia Hiking Club

• Member, Society of Women Engineers (SWE)

• Member, Biomedical Engineering Society

EXTRA CURRICULAR ACTIVITIES

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