I head up our corporate development, partnerships and strategy, which means that I define our strategic initiatives, cultivate our sales channel partners, and drive fundraising processes. Our business model is predicated on enabling partners to be successful, and our technology design and automotive grade supply chain are a catalyst for the manufacturing, sales and integration partners for automotive, trucking, industrial, and more.
When I became an advisor with AEye, I was deeply impressed with the technology know-how in the team, and since then I have been further impressed with the business side of the company. At this point in my career, I'd rather be a contributor to a strong team rather than trying to do something like this solely on my own, so I took the opportunity to join the team at AEye about four years ago.
It is exciting to be involved and fully engaged in so many areas of the company and to have the unique opportunity to set up processes and establish rules to help make it succeed. AEye has a very inspiring environment with brilliant minds and experts in their fields.
I decided to join the automotive industry because I wanted to learn more about it. I had heard a lot of great things about what vehicles will be like in the future, and working hands-on in the industry is a great way to learn about the future of automotive!
LiDAR is the final sensor modality that is needed to make ADAS systems (and eventually full autonomy) work effectively in all conditions. LiDAR is more deterministic by nature, as it can detect and measure the distance to all objects. And with an agile LiDAR, such as AEye’s iDAR, this can be done incredibly fast with the added ability to classify objects and determine their velocity.
An NPI Engineer is responsible for bringing a product from the engineering sample phase to mass production. At the end of the day, my goal is to deliver a safe, reliable, and cost-efficient product at volume.
I was part of the microprocessor design team at Intel in the early 2000s. For the second Grand Challenge, Stanford University teamed up with Intel and VW to build the winning car: Stanley. I got involved in the project and, ultimately, in AVs, because I felt that the Grand Challenge was cool and interesting, and a clever and effective way to develop AV technology.
Advanced ADAS solutions and, eventually, fully autonomous vehicles, will be the most important transportation technology innovation event in my lifetime – and I knew that I needed to be a part of it.
AEye has a perspective that we hope the industry will adopt more widely, which is to use biomimicry to focus energy on things that matter.
Autonomous vehicles will spark a radical shift in our society. Not only will it make safer and more efficient public transportation accessible to the masses, it will allow us to have the time to accomplish meaningful tasks which would otherwise be lost to a long commute. Engineers are the leaders in bringing about this societal change.
For the better part of 25 years, I have worked at the intersection of transportation and technology. Starting as a powertrain engineer at Ford Motor Company, and through executive tenures at Flexcar, Zipcar and Silvercar, I have seen the industry begin the most profound, tectonic shift in its 120 year history.
With over 15 years of experience in the automotive industry and another 12 years in technology, I’ve found that the development of autonomous vehicles is the perfect intersection of my experience and interests.
I was fortunate enough to work for Intel from the mid 70’s to the mid 90’s – and participated in the advent of desktop and mobile computing...we now have the advanced computing tools that allow companies to apply Artificial Intelligence (AI) within their decision making and take advantage of big data. These trends converge around the auto industry and its next inflection points — EVs and autonomy.
As a professional athlete, I have always been fascinated and amazed by human perception and the role it plays in athletic performance... I have been curious about how these capabilities might be replicated with technology and artificial intelligence.
I was formerly the Vice President and General Manager of the Transportation Solutions Division at Intel. In that role, I had a front row seat as autonomous driving went from research to a race to commercialism.