MIT Educated, Silicon Valley Tested
My process is a data-driven, agile method that prioritizes de-risking the program rather than walking through the gating stages of classic product development. I create value and excite investors and consumers alike by systematically gathering data that validates the product's high-risk unknowns, be it product/market fit, consumer alignment, or technological capabilities. My experience has shown that this methodology promotes a holistic mind-frame through product realization, as well as a bias towards proof.
Each question moves through 4 steps
What do and don't we know?
How do we learn more?
Let's build it!
Produce and analyze data.
AI-enabled platform built to collect and analyze data around the fastest sport in the world
Contributions: Customer Research, UI/UX Design, Mechanical Design and Engineering, Data Analysis
Autonomous wearable defibrillator and companion mobile app to prevent sudden cardiac death
Contributions: Usability research and testing, Form-factor design, UI Design (haptics, audio, visual), Bio-sensor development, Electronics packaging, DFM, DFA
The surgical tool set to support lower lumbar spinal implants
Contributions: User Need Research, Risk Analysis, Product Requirements, Mechanical Design and Engineering, Manufacturing / Assembly, Verification and Validation
Outcomes: 22% decrease in surgical time and 40% reduction in effort leading to vocal support of industry leaders and a multi-million dollar acquisition by Styker Spine
IoT device and mobile app to enable pick-up basketball and provide visibility to public park usage
Contributions: Product Vision, Customer Research, Market Analysis, UI Design Language, Mechanical Design and Engineering
A platform for musicians to create and interact with audio effects in novel ways through various sensor inputs (think shaking your hand changes your guitar tone)