GAL AVIRAM

Specialized in data science, machine learning, deep learning, and algorithmic design. Offered consultation and hands-on implementation, assisting businesses in crafting and applying tailored algorithmic solutions.

Steered the algorithmic team, set goals, designed diverse lesion algorithms, and ensured successful team outcomes. Utilized mathematical and statistical techniques to distinguish between malignant and benign tissues.

Crafted new features in C for a signal processing device that acquires live data from electrodes and transmits it to patient apps. Developed an algorithm for respiration rate detection using impedance between two electrodes.

Conducted intelligence research within a classified unit. Applied analytical skills to gather and interpret critical information.

Grade: 85 (overall), 98 (graduation project)

Activities and societies: Graduation project supervised by Prof. Hayit Greenspan.

Majored in Signal Processing. Developed a MATLAB-based semi-automatic liver tumor segmentation tool, which extracts and displays tumor boundaries for user's refinement using image processing techniques.

Grade: 93

Explored the simulation of agents learning self-recognition, inspired by infant behaviors, emulating how the brain handles multiple sensory inputs to produce a singular action or response. Utilized deep reinforcement learning to create a curiosity loop with actor and learner modeled as neural networks to handle sensory-motor objectives, delving into how the brain's neural 'wiring' optimizes learni

Grade: 88, Highest Honor

Completed a Bachelor of Science in Biology with a focus on Neuroscience. The curriculum provided a strong foundation in biological principles and neural mechanisms.