Position: Embedded Systems Design Engineer & NEUDOSE Scribe
Area of Study: Level III Electrical Engineering Co-op
Member Since: October 2016
Science/Engineering Interests: Exposure to research in molecular Biophysics and Biochemistry sparked my passion for extracting meaningful information from unstructured data. I am fascinated by the Machine Learning, Neural Networks, Computer Vision, and Data Analytics applied to engineering problems and novel scientific questions.
Understanding how to leverage High Performance Computing, Computer Networking, Virtualization, Software Defined Networks, and Automation of complex processes to make advancements for the betterment of society. Combined with my scientific background, I am interested in tackling real-world problems, from fields ranging from: IoT, Embedded Systems, AI (Self-healing networks, autonomous vehicles), Bioinformatics, Software Development, Control Systems, and Predictive Analysis applied to engineering and business solutions. I enjoy learning how to develop precise, robust, low-cost technologies (things that do MORE with LESS) that push the boundaries of what is possible and ultimately benefit society.
Motivation: Life in the long run is more than ”just” solving problems. Whether it be monumental goals, burning questions, or vision for the future that drives us to get out of bed every morning. This allows us to take risks, delve into the unknown, and have the courage to be persistent when faced with difficult novel problems. One of these fields is space exploration, which not only continues to inspire humanity but in the processes has benefitted humanity greatly in its yielding of technological and scientific discoveries. Having been a huge supporter of increasing funding for space exploration, and encouraged by commercial companies taking up the charge to innovate in space travel, I could not have asked for a better opportunity than McMaster NEUDOSE! The team offers fantastic design and engineering experience, and I am honoured to contribute to the cause.