ABOUT ME

I am a two-time fashion tech entrepreneur, strategic adviser, and marketing & product development consultant turned strategy and product development advisor, and software engineer, at the intersection of AI, Cognitive Science, and Retail. Founder and Chief Product Officer of Click2Fit. I pioneered the concept of mass-customizing clothing by body type 22 years ago, and have been at the forefront of personalizing products and user experiences ever since.

I am nothing if not persistent. When leading experts told me that Click2Fit’s technology wasn’t feasible, I tapped into my long-forgotten CS classes and designed the software’s architecture and convinced them otherwise. And when I kept running up against the Catch-22 of being unable to build AI software without the funding to hire a tech team, I started learning everything I needed to know in order to develop the algorithms and build it myself – from artificial intelligence, cognitive neuroscience and physics, to designing the architecture and developing the software. Fast forward, and Click2Fit is about to start beta testing its expert recommendation software, and I became a full-fledged software engineer along the way.

I have been featured on CNBC’s “Power Lunch” and in numerous publications, and a featured speaker on retail tech and artificial intelligence for audiences ranging from WiMLDS and Futurist Forum, to Condé Nast and Columbia Business School’s Retail & Luxury Goods Conference. Columbia Business School, WiMLDS, and Futurist Forum, to Condé Nast.

About Click2Fit

Click2Fit's expert AI software enables retailers to automatically recommend clothing you'll love that flatters and fits.
Instead of spending hours searching and trying on clothing, take a few minutes to create a profile and let your AI stylist do all the work. We do that by reverse engineering Click2Fit has reverse engineered the thousands of visual and cognitive rules that humans subconsciously use to determine what looks good on them. Proprietary algorithms evaluate that information, as well as hundreds of data points for individual pieces of clothing, and dynamically select clothing that flatters and fits the customer and suits their taste and lifestyle.