I connect how people think to how machines learn.
Currently @ Google DeepMind leading design for multimodal conversational experiences on Gemini Live, part of the Gemini App (1B+ users)
Turning a wild idea into a tangible proof of concept right at the moment you're experiencing it
I was skeptical at first. I wasn't sure that Gemini Live was the right place for Nano Banana.
But then I built a prototype, and it clicked – not just for me, but also for my team. And it ended up clicking for users too, becoming the most used tool in Gemini Live.
Deciding if, when, and how Gemini should show and tell.
Visuals aren't always necessary. We shouldn't show for the sake of showing.
To validate this hypothesis, I took a “fast and slow” approach – learning quickly through a focused set of deterministic outputs and developing a foundational framework, eval rubric, and training data to shape model behavior upstream.
Seeing and understanding your physical or digital world as you move through it.
It wasn't clear how to productionize a research prototype.
At I/O 2024, Project Astra introduced the future capabilities of a universal AI assistant capable of understanding the world around you. With limited foresight into how users would actually use this feature, I led the design for productionizing this prototype, ultimately winning a “Best of MWC” and “GLOMO” award and becoming a key driver of new users.
Introducing a new, more natural way to communicate with AI through real-time audio dialogue
We wanted to let people “think out loud”, and trust Gemini could follow along.
I was new to the team and had to quickly get my arms around work to-date, structure the thinking, identify the remaining work, and mobilize a group of 10 designers who hadn’t worked together, balancing oversight and empowerment to maintain momentum without losing cohesion.
Taking Gemini out of the browser and putting it in your pocket
From pitch deck to the app store – taking an app from 0 to 1 (Billion)
When Gemini first launched, it was capped by the browser. I was on a team of 5 designers to pitch execs on a different bet: a mobile app that would unlock new capabilities, increase adoption, and later became the fastest growing app in Google history, surpassing 1 billion users in 2 years.
I've always been fascinated by the “and”; the in-between. It first led me to study human-computer interaction and later how people calibrate trust in AI-assisted decisions before landing at the intersection of the model and the interface, understanding and shaping emerging capabilities in ways that work for and with people, ensuring that we don't outsource what makes us, at our core, human.
Outside of work, I am: