Experience

York Angel Investors

• Canada
• Venture Capital and Private Equity Principals
• 1 - 100 Employee

• Angel Investors

  • 2013 - Present

  Actively participate in strategic decision making and strategy design of investee companies; provide advisory services to investee companies. Assist portfolio companies in recruiting management; assist in public relations efforts; design exit channels, organize corporate exits, and seek and identify future developable projects with a professional and experienced profile and understanding of those projects. Scientific thinking, compound thinking, entrepreneurial thinking, blueprint thinking, and some industry research, technology and policy research skills. Areas of Expertise. Vision and strategic planning, market research, new product development, sales and marketing, customer engagement, operations management, leadership development, change management, quality assurance, business development, contract negotiation, public speaking, board membership Show less



Synchron

• United States
• Medical Equipment Manufacturing
• 1 - 100 Employee

• Senior Director of Neuroscience

  • 2017 - Present

  Computational neuroscience focuses on the detailed implementation of computation, studying neural codes, dynamics and circuits, artificial neural networks tend to avoid precisely designed codes, dynamics or circuits that favoring strong optimization of cost functions (violent search), often using simple and relatively homogeneous initial architectures, using structured architectures, including attention mechanisms for recursion and various forms of short-term and long-term memory storage (Specialized System). Second, cost functions and training processes become more complex and change over time. Here we think about the brain in light of these ideas. We assume that (1) the brain optimizes the cost function, (2) the cost function is diverse and different at different locations in the brain at different stages of development, and (3) the optimization operation is performed at different locations in the brain. and (3) optimization operations are performed within a framework that is pre-structured by behavior and matches the corresponding computational problem. In support of these assumptions, the we believe that a range of implementations of Credit Assignment (CA) via multilayer neurons are compatible with our current knowledge of neural circuits, the and that some specialized systems of the brain can be interpreted to achieve efficient optimization for a given problem. Through a series of interacting cost functions, such a non-uniformly optimized system makes the learning process data efficient and precisely tailored to the needs of the organism Show less