William Macready Email & Phone Number

Berkeley, California, Us

I'm working with the top-flight RelationalAI research team and our academic network to apply state-of-the-art inference for faster and smarter optimization and machine learning by exploiting structured domain knowledge.

Vancouver, Bc, Ca

Responsible for AI strategy, research, and engineering for a successful robotics companypursuing embodied artificial general intelligence.

As SVP of Machine Learning at D-Wave, I worked with the senior executive team to build the Quadrant.AI business unit. I built and retained a world-class team of ML researchers and engineers in a competitive hiring market, and led the sales effort to meet our revenue goals. Our customers included senior executives at Fortune 500 companies in telecommunications, banking, and manufacturing. We won several global benchmarks in ML including the Cataracts Computer Vision Challenge, and we surpassed in-house benchmarks on all of our client projects.

As VP Algorithms and Applications at D-Wave Systems, I led the effort to design and build applications for the quantum computer. In this role, I refocused the company’s application strategy from optimization to machine learning to take advantage of the stochastic aspects of the quantum hardware. I defined research directions and built a full-stack team of developers, architects, and researchers for the world’s first quantum annealing computer. I participated in key sales engagements as the lead sales engineer, and helped sell customers such as Google, NASA, and USC. I led a team to collaborate with Google’s computer vision group to develop the first quantum machine learning application; this project ultimately led to D-Wave’s second hardware sale.Throughout my career at D-Wave, I have continued my work as a thought leader in optimization and machine learning research. I have published numerous papers and have been granted over 20 patents in areas such as optimization, machine learning, and quantum annealing.

Moffett Field, California, Us

The Intelligent Systems division of NASA is focused on the advanced information technology aspects of aerospace missions and operations. As Senior Scientist, I built a machine learning group to provide additional insight into NASA’s unique datasets. I hired and led a team of 6 ML researchers and generated over $1M in internal funding for the group. I initiated and led projects including a distributed control mechanism for a visionary NASA program used to control a swarm of autonomous space vehicles, and machine learning algorithms to model large scale structure in the early universe.

Bios Group applies scientific insights from complexity theory to solve business problems for Fortune 500 clients. As VP of Science and Research, I hired and led a team of 40 scientists and researchers; these teams were responsible for delivery of all customer engagements. In addition to defining technical approaches to projects and managing delivery, I assisted in most of the technical sales and was directly responsible for over $5M in sales to senior executives of Fortune 500 clients. I led delivery of over 20 consulting projects including a machine learning and optimization project for supply chains for one of the world’s largest consumer packaged goods companies. I also continued my academic research and publishing on optimization and machine learning in economics and computer science journals.

Santa Fe, Nm, Us

SFI is an interdisciplinary research institute studying fundamental principles of complex systems including physical, computational, biological, economic, and social systems. During my post-doc I researched the limits of search and optimization methods, distributed methods for control of complex systems, economic and biologic models, and new machine learning techniques.In this multi-disciplinary environment I proved the “No Free Lunch” theorems showing the limits of search algorithms; these theorems are still referenced in optimization and machine learning courses and literature today.