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My Past Experiences
This diagram presents a unique snapshot of my career, emphasizing the diverse skillsets I’ve cultivated and the experiences I’ve amassed over the years. Each flow represents an area of expertise or experience, beginning from the institutions where I gained these skills and leading to the specific areas of focus.
The organizations I have contributed
OpenLab at UHN
Lady Davis Institute at JGH
University of Tabriz
Tabriz University of Medical Sciences
Ardabil University of Medical Sciences
East Azerbaijan National Elite Foundation
BCI Lab at University of Tabriz
Cyberpsychology Lab of Université du Québec at Outaouais (UQO)
DREAM BIG Lab
Check out my IG! Where I share my main hobby, photography!
I’m Reza Amini Gougeh, a interdisciplinary engineer with a B.Sc. in Biomedical Engineering from the University of Tabriz, Iran, and an M.Sc in Telecommunication from INRS, where I worked in MuSAE Lab in Montreal, QC.My journey into programming began at the age of 16 when I delved into front-end design using HTML and CSS. My thirst for knowledge led me to explore C and C++, which further solidified my interest in the world of programming. In university, I faced challenging problems that required efficient and fast data analysis, drawing me towards Python and MATLAB. In 2018, I delved into the fascinating world of Brain-Computer Interface (BCI) systems. This newfound passion for neuroscience and technology led to my involvement in a BCI Lab, where I extensively researched and developed in this field. Recognizing the potential impact of my work, Iran’s National Elites Foundation invited me to contribute to a VR project aimed at improving 3D-object comprehension in elementary students. This venture allowed me to apply my technical skills in a practical, impactful way, contributing to the well-being of individuals living with dementia, in a collaboration with speech Therapy departmnent of Tabriz University of Medical Sciences. Joining the MuSAE Lab was a pivotal moment in my career. The supportive, knowledgeable team around me created an environment that fostered productivity and learning. It was here that my interest in machine learning and artificial intelligence truly took flight. As a Machine Leaqrning Engineer in the DREAM BIG research project since June 2021, I have been able to implement and further refine my skills in these areas, with a particular focus on mental health applications. Today, my work centers around machine learning and data science. I’ve developed a profound understanding of dimensionality reduction, including feature selection, projection, and extraction. My expertise also extends to various aspects of machine learning, such as regression, classification, clustering, deep learning, and neural networks. I am particularly adept at interpreting machine learning models, ensuring their fairness and robustness. In the realm of data science, I excel in visualization, statistical analysis, and data cleaning and preparation. In addition, I maintain a keen interest in physiological computing. I am exploring the intersections of biofeedback, wearable technology, human-computer interaction, health monitoring, and multi-modal signal processing. By synthesizing these diverse fields of study, I aim to push the boundaries of what’s possible in healthcare and improve outcomes on a global scale. I look forward to the new challenges and opportunities that lie ahead in my journey.