An innovative, self motivated, lifetime learner with over two years of experience in data science and algorithm development in industry and seven years of experience in graduate-level biomedical engineering research focusing on signal processing. Well published with expertise in remote monitoring, audio signal processing, and human health related measurements (8h-index). A confident presenter, mentor and teacher supporting undergraduate and graduate students develop both technical and soft skills.I completed my PhD in Biomedical Engineering at Carleton University in 2022 entitled "Human Respiratory Sound Classification for Remote Health Monitoring Applications". Where my research focused on the application of non-invasive and wearable technologies to human health conditions and diseases. Specifically applied to conditions common among older adults. My thesis investigated remote monitoring applications of audio in order to track respiratory conditions including an investigation of cough sound characteristics and how they are related to various diseases including COVID-19. Previous research areas:• Fluid status monitoring using pressure sensitive mats with potential applications for individuals