The start of the 2016-17 Health for America at MedStar Health fellowship is fast approaching. We have a team of four talented young professionals coming on board with diverse experience across the fields of engineering, public health, integrative medicine, health education, and more. Today, join us as we welcome Michael Mezher to the team!
“My curiosity, entrepreneurial spirit, desire to learn, and ability to work in a fast paced environment provide me with the necessary talents and values for the Health for America fellowship, despite its challenging nature.”
Michael is an aspiring entrepreneur with a broad range of experience. He graduated with honors from George Mason University this past May, earning a B.S. in bioengineering with a concentration in systems and signals and a minor in mechanical engineering. For a capstone engineering course there, Michael led a team of five to design, prototype, and test a “wearable, lightweight, and low cost sit-to- stand assistive device” to aid elderly individuals affected by sarcopenia in moving between standing and sitting positions. The team was selected to give the keynote presentation at the third annual Volgeneau School of Engineering Undergraduate Research Celebration.
“My education has provided me with the necessary tools to collaborate with a team to successfully devise and carry out a solution that will improve the quality of life of a patient with a major health challenge.”
Michael has had several internship and research positions, including working under Dr. Laurence Bray to decipher a mapping between voluntary movement and neural activity within the primary motor cortex of a monkey. Through an internship with the National Scoliosis Center, he planned and coordinated a study comparing perceived patient compliance and measured patient compliance utilizing various wear-time loggers implanted within Rigo Cheneau-style braces. The research findings were presented at the Society on Scoliosis Orthopaedic and Rehabilitation Treatment Conference in May 2015.
Michael is proficient in several coding languages, including Python, Java, and Matlab. He has a highly creative mind and has worked on several successful extracurricular engineering projects, including the application of artificial neural networks to formulate stock market predictions, the development of a multitude of mechanically functional 3D-printed components, and the manifestation of machine learning techniques within microcontrollers.
Stay tuned as we introduce the other 2016-17 fellows before they start on September 12. You can also follow along on our Facebook, Twitter, and Instagram