Andrei Mouraviev
About Andrei Mouraviev
Andrei Mouraviev is a Machine Learning Engineer with a background in Physics and Medical Biophysics. He has held various research and analytical roles in academic and healthcare settings, contributing to projects focused on brainwave activity and neuronal analysis.
Current Role at Ezra
Andrei Mouraviev serves as a Machine Learning Engineer at Ezra, a position he has held since 2020. In this role, he applies his expertise in machine learning to develop and implement algorithms that enhance the company's capabilities. His work involves analyzing complex data sets and creating models that contribute to the organization's objectives.
Previous Experience in Research and Analysis
Prior to his current role, Mouraviev worked at Holland Bloorview Kids Rehabilitation Hospital as an Imaging Analyst for nine months in 2020. He also held a position as a Data Scientist Fellow at SharpestMinds from 2019 to 2020, where he engaged in a project focused on data science applications. His experience includes conducting research at the University of Toronto as a Graduate Student Researcher from 2016 to 2019 and as an Undergraduate Student Researcher at the Lassonde School of Engineering for three months in 2016.
Educational Background in Physics and Biophysics
Andrei Mouraviev completed his Bachelor of Science (BSc.) with Honours in Physics at York University from 2011 to 2016. He furthered his education at the University of Toronto, where he earned a Master of Science (MSc) in Medical Biophysics from 2016 to 2019. His academic background provided him with a solid foundation in scientific research and analytical skills.
Research Contributions and Projects
During his academic career, Mouraviev designed an experiment to measure induced brainwave (EEG) activity from auditory stimuli. He also performed Fourier analysis and statistical testing on time-series data to measure induced neuronal activity. These projects reflect his focus on the intersection of technology and neuroscience.