QuindiTech composes of excellent researchers, experienced entrepreneurs and is guided by the strong advisory board in AI, technology, medicine and law.
Entrepreneur / Angel investor / Many years of experience in investment, healthcare, business development, and hospitality management / Passionate about technology frontiers.
Founder and advisor of multiple startup companies / Business background with over 5 years of experience in Machine Learning, Social Networking Software, Investment and Financing, Education and other fields / Graduated from McGill University.
Many years of experience in project management, data analysis, marketing and public relations between North America and Asia / Founder and strategic consultant for multiple startups / M.Sc. from Western University.
Ph.D. candidate in Computer Science at McGill University / M.Sc in Information Science from University of Pittsburgh & M.Sc in Computational Math from Duquesne University / Developing GPU cluster architectures to extend the state of the art in Deep Learning performance and efficiency.
Deep Learning Researcher
Ph.D. candidate in Computer Science at Montreal Institute of Learning Algorithm (MILA) / Graduated from Shanghai Jiao Tong University and University of Illinois at Urbana-Champaign / Experienced Deep Learning researcher with a focus in Computer Vision, Reinforcement Learning, and Generative Models.
Deep Learning Developer
Ph.D. candidate in Computer Engineering at École Polytechnique de Montréal / Many years experience of Software Engineering / Researching in the field of Deep Learning, Computer Vision, and Recommendation System.
Ph.D. candidate in Computer Engineering at École Polytechnique de Montréal / Bachelor degree of Mathematics from Sichuan University / Experienced Researcher in Machine Learning and Data Mining.
Deep Learning Developer
Ph.D. candidate in Computer Science at École de Technologie Superieure / Graduated from Shanghai Jiao Tong University and French Ecole Centrale Engineering School / 4 years experience in Machine Learning / Researching in the field of Computer Vision applied in the medical imaging area.
Graduated from University of Alberta in Electrical and Computer Engineering / Researched in Deep Reinforcement Learning applied in games, such as Atari and StarCraft / Developed applications on Computer Vision techniques for fraud ID detection and video analysis.
Junior full stack developer passionate about creating and thriving to always improve current and acquire new programming skills.
D.E.S.S in Arts, Creation and Technology at University of Montreal / Skills in visual design, user interaction and social media management.
IOS software developer
Study in McGill University in Computer Science/ Experienced in development of IOS applications.
Medical Data Analyst
Over 9 years of experience in medical institutes and pharmaceutical companies / working in the fields of Oncology and Dermatology / Graduated from Peking Union Medical College.
Dermatologist with over 9 years of experience / Specializing in both medical and cosmetic dermatology.
Medical Data Coordinator
Studied AUTO CAD 3D 2D and REVIT. Skills in image analysis tools.
Medical Doctor with 5 years of experience across public and private healthcare settings across India / Co-Founder of Medical Second Opinion startup / MBA in Global Strategy and Leadership from Desautels Faculty of Management, McGill University.
Medical Device Consultant
Healthcare and innovation executive, consultant and mentor with public, startup and fortune 500 organizations in Canada and internationally / biotechnology, pharmaceuticals, medical device and digital health industry specialties / HR, M&A, investment, strategy, marketing and business development / Graduated from McGill University (BSc 2000) and HEC Montreal (MBA 2004).
Prof. Xue(Steve) Liu
Professor and William Dawson Scholar at School of Computer Science, and Dept. of Electrical and Computer Engineering, McGill University / Chief Scientist of Tinder / Researching in the fields of Internet of Things (IoT), Cyber-Physical Systems (CPS), Machine Learning, Big Data, and Applications, Green IT, Sustainability, and Smart Energy Systems, Computer Systems and Networking, Internet and Data Centers.
Prof. Michel C. Desmarais
Professor at the Computer and Software Engineering Department of École Polytechnique de Montréal / Researching in the fields of Artificial Intelligence, Human-Computer Interactions, and Learning Environments.
Prof. Ismail Ben Ayed
Professor at Ecole de Technologie Superieure (ETS) / Research Chair on Artificial Intelligence in Medical Imaging at ETS / Researching in the fields of Computer vision, Optimization, Medical image analysis, Machine learning.
Eric Lavallée is a lawyer and trademark agent in Lavery’s business law group and he runs the Lavery Legal Lab on Artificial Intelligence (L3AI).
Shan Jiang practices with Lavery’s business law group, focusing on securities law, mining law, and mergers and acquisitions.