Mr. Obeidat is a global serial entrepreneur, researcher, and an impactful investor. He has over a decade of experience in leading successful technology startups, business consulting and fintech. In 2013, Obeidat built the first online investment platform for spot precious metals deliverable contracts, and was involved, as of 2016, in the investment of over a US$ billion in the gold markets in the EMEA. In 2017, he founded Investifai, an artificial intelligence (AI) powered wealth management startup, producing higher risk-adjusted returns than most of the traditional investment managers.
Obeidat holds a BA degree in applied chemistry from Jordan University of Science and Technology (JUST), and a masters’ degree in global management (MGM) from Royal Roads University in Victoria, BC, Canada, where he conducted an empirical research that focuses on managing global multi-asset investment portfolios using machine learning models.
Dr. Steeg is a Canadian entrepreneur with a MSc & PhD in Computer Science from University of Toronto, and a BA in Mathematics and Economics at Cornell University. He worked with renowned neural networks pioneer Dr. Geoffrey Hinton of Google fame. At DuPont, Queen’s University, Los Alamos National Labs, National Research Council (NRC) and Molecular Mining Corp, he built computational models for various applications, including drug development, farm profitability and factory process optimization, and helped in launching multimillion dollar public-private R&D partnerships in biologic drugs, vaccines, wheat genomics and industrial biomaterials.. Dr. Steeg has numerous publications and presentations on AI, machine learning and bioinformatics. He received patents in the US, Canada, and Australia for a novel, fast association mining algorithm. He Founded and led an AI / bioinformatics company, raising $13M and launching two software products globally and building a co-marketing alliance with IBM. As the National Research Council’s Foresight Director, he led a major technology foresight projects on Big Data & AI, exploring the key drivers, risks and highest-value applications.
Dr. Awad received his PhD in Physics from the University of Strathclyde in 2013. He has performed various top management roles at Fuel Industries, Next Frontier Digital Investments (NFDI), Ascendancy, and MAS Holding. He has successfully exited multiple high-tech ventures, and has a deep network in both the Middle East, and Silicon Valley.
Dr. Hanane Ouri is an entrepreneur, angel investor and a philanthropist who always seek adding value to society. During the last decade, Dr. Ouri invested in multiple ventures across different industries including healthcare, beauty and medical aesthetics, financial services, legal consulting and emerging technologies. Dr. Ouri is currently leading Stallion Mark Foundation which aims to combat child poverty in different regions by focusing on educational and technological success. Dr. Ouri is also a managing partner at Stallion Mark institute which offers specialized artifical intelligence training and development course and workshops .
“Dr. Shapiro is a deep learning researcher and a Canadian entrepreneur. The focus of his work has been deep learning artificial intelligence, including applications in finance, defense, audit, agriculture, and medical devices. He has over 30 peer reviewed publications and patents”.
His work on artificial neural networks in 2011 "Artificial neural network acceleration on FPGA using custom instruction" and "ASIPs for artificial neural networks" coincided with his work on biological neural networks e.g. "Characterization of piezoelectric film sensors for tongue-computer interface". This work led to various applications of artificial intelligence in commercial ventures. Dr. Shapiro has performed various management and consulting roles throughout his career. “
Matt is a senior software and hardware developer with over a decade of experience in the start-up trenches, serving in a series of high-level roles in management and engineering. He has worked for multiple startups, and brings with him a wide ranging skillset ranging from PCB design to search and rescue management. His primary focus is on data science, developing machine learning models in the area of predictive analytics.
Mohamed is a software and hardware developer with a Bachelor's degree in Computer Engineering with an option in Engineering Management and Entrepreneurship from the University of Ottawa. He has a passion for machine learning, data science, and entrepreneurship. Mohamed is currently an AI implementation specialist at Lemay.ai and a research assistant at the University of Ottawa, where he is focusing on machine learning solutions in the field of speech differentiation.
Mr. Martinez is the Chief Operating Officer of Narrativa. Narrativa transforms data into human-sounding narratives using Artificial Intelligence.
He is an entrepreneur, consultant and investor with a unique combination of business management expertise and deep technological acumen. Previously, David has worked with Bain, Deloitte and Accenture and was the Chief Executive and Investment Officer of Finerd, an automated investment management firm applying state-of-the-art technology to asset and wealth management. His experience spans Europe, America, Asia, Africa and the Middle East.
He holds an MBA with distinction from INSEAD, Singapore; BSc's and an MSc in Computer Science and in Electronic Engineering from the University of Deusto, Spain; and a BSc in Economics from the University of London / London School of Economics, UK.
Dr. Miodrag Bolic received his PhD degree in electrical engineering from Stony Brook University, USA, in 2004. Since 2004 he has been with the University of Ottawa, Canada where he is a professor with the School of Electrical Engineering and Computer Science. Dr. Bolic’s current research includes biomedical signal processing, instrumentation and machine learning. He is a director of Computational Analysis, Acceleration and Applications Research Group (CARG) and Health Devices Research Groups. He published more than 80 journal papers.