I am a postdoctoral fellow at MIT, where I study how design and innovation decisions are made under uncertainty and how people evaluate, justify, and communicate them. By uncovering the behavioral, cognitive, and organizational mechanisms that influence which ideas advance during new product development, I develop methods, frameworks, and tools that support more transparent, accountable, and effective innovation processes.

I use a mixed-methods approach that combines experiments, interviews, observational studies, and computational text analysis. My work bridges engineering design, innovation management, and behavioral decision-making. My ongoing research explores how hierarchy shapes concept evaluations, how human–AI collaboration influences innovation processes, and how firms navigate transparency and disclosure when adopting AI tools.

At MIT, I work with Maria Yang in the Ideation Lab and am funded through the MIT Postdoctoral Fellowship for Engineering Excellence. I completed my PhD in mechanical engineering at UC Berkeley, advised by Kosa Goucher-Lambert in the Cognition and Computation in Design (Co-Design) Lab. I hold a BSc in Materials Science and Engineering from Northwestern University and have collaborated with researchers at ETH Zurich, the Technical University of Munich, and the University of Pisa. My research has been supported by the NSF GRFP and UC Berkeley’s Chancellor’s Fellowship and recognized by the American Society of Mechanical Engineers and the Society of Hispanic Professional Engineers.