With over 30 years of experience in the medical research, I am Professor of Anesthesia in the Department of Anesthesia and the Division of Experimental Surgery at McGill University in Montreal, Canada.
I was born in Saarbruecken and attended the Johanneum in Homburg, followed by medical studies at the Universitaet des Saarlandes.
My profess
With over 30 years of experience in the medical research, I am Professor of Anesthesia in the Department of Anesthesia and the Division of Experimental Surgery at McGill University in Montreal, Canada.
I was born in Saarbruecken and attended the Johanneum in Homburg, followed by medical studies at the Universitaet des Saarlandes.
My professional family routes are in the mining sector in Saarland; this Award is a chance to combine my family heritage deeply rooted in the Saarland history with the introduction of Artificial Intelligence to Schools in Saarland. I have the fortune to collaborate with Benedikt Schnellbaecher from the Universitaet des Saarlandes in Saarbruecken.
The laboratory has focused on robotics, simulation and artificial intelligence. It consists of computer engineers, medical doctors and electric and mechanical engineers.
Over the years, the laboratory managed to produce 3 world premiers featuring robotics and automated systems.
His main research interests are: AI-driven business models | Digital start-ups | Sustainable start-ups | Founder behavior | Business model development
Hello, I'm Eric Pelletier, and I'm currently pursuing my master’s degree in Experimental Surgery at McGill University. My thesis project is an exciting venture into integrating artificial intelligence into medical devices. I'm particularly focused on developing a real-time segmentation model to identify various nerve types to aid nerve blockage procedures. Additionally, I'm working on creating a predictive model that uses large language models to determine the most suitable medications and dosages based on individual patient data. Prior to starting my master’s journey, I completed my undergraduate degree in Software Engineering at McGill, where I also led the swim team as the captain. My technical skills are diverse, encompassing multiple programming languages such as Python, Java, C, and C++, etc. I also have extensive experience in machine learning, especially in areas like image analysis and natural language processing.
I attained my bachelor's degree in software engineering from McGill University in 2023. My academic path at McGill was marked by active engagement in research, fostering a deep-seated interest in the biomedical realm. As a teaching assistant at the university, I cultivated a passion for discovering innovative methods to support students in programming and various Python-based robotics projects.
Hello! I'm Georgiy Danylenko, an Electrical Engineering graduate from McGill University, currently pursuing a Master's in Experimental Surgery. My passion is crafting complex electrical systems that require printed circuit board (PCB) design, robotics, and programming. I've had some amazing opportunities to develop these skills throughout my career and I am excited to share my knowledge with you.
During my studies, I managed the PCB design for the Formula SAE McGill team, leading us to a 1st place victory in Engineering Design at the 2023 FSAE Michigan competition. Today, I'm immersed in the design of a compact carrier PCB capable of running an artificial intelligence (AI) model for a prototype medical device. This task is an exciting blend of system on module (SoM) integration for AI, power management and robotic control elements. Furthermore, Python has been a constant companion in my career. Crucial in data analysis, automation and AI, I love how versatile and powerful it is, and it's definitely a skill that I'm proud to have in my arsenal.
If you are looking to understand the applications of electronic design and Python programming for robotics and AI, I am here to introduce you to these exciting skills.
I’m Zheyan Tu, I have completed my bachelor’s degree in Computer Engineering, my current research interests are Reinforcement Learning for Anesthesia, and Spatiotemporal Analysis on EHR. I also have experience in robotics, computer vision, and software engineering, etc.
Sean most recently completing his Masters degree in Experimental Surgery from McGill University in 2022. He also holds an Honours Degree in Biomedical Science and minor in Neuroscience. An accomplished researcher with a diverse and extensive background, Sean has focused on identifying and addressing specific needs in the medical community through the use of novel technologies.
Sean has innovated in surgical education by creating 3D-printed simulators with mixed-reality features for both surgical and anesthesia training, shown a passion for environmental conservation by tackling the issue of single-use products in healthcare through the development of applications to both quantify and reduce their ecological impact, and most recently contributed to the creation of modern decision support systems by utilizing machine learning and artificial intelligence. Sean's current work explores the ethical use of deep learning in medicine, the potential for AI integrated clinical tools, and the optimization of these tools for clinical practice.
As a proficient writer, Sean has authored several scientific publications, commentaries, and reviews. Currently, Sean manages the Intelligent Technology in Anesthesia Group (ITAG) laboratory at the RI-MUHC, an international research powerhouse with a worldwide reputation in the fields of biomedical science and healthcare.
As a Ph.D. candidate in Surgical and Interventional Sciences at McGill University, I'm involved in a groundbreaking project at the forefront of robotics and artificial intelligence in medicine. We are dedicated to advancing pain management by leveraging these technologies to refine and enhance nerve block procedures. Our vision is to expand the accessibility of this approach, empowering a wider spectrum of healthcare providers and offering a safer, more effective alternative to traditional pain relief methods. This initiative is a step toward reducing opioid dependency and represents a significant leap in medical technology democratization.
My journey in academia has been shaped by a keen interest in the intersection of technology and medicine. A career milestone was the development and validation of an innovative ultrasonography-powered platform for preoperative analysis in plastic surgery. My educational and professional experiences have allowed me to cultivate a diverse set of skills, particularly in engineering and software development, enabling me to contribute meaningfully to medical research and the advancement of surgical techniques.
I am also an expert in 3D printing.