Nave is the Carlos and Rosa de la Cruz Associate Professor of Marketing at the Wharton School, where he holds a PhD in Computation & Neural Systems from Caltech and a BSc/MSc in Electrical Engineering (signal processing) from the Technion, Israel Institute of Technology [1]. His research applies tools from computational neuroscience, digital-footprint data, genotyping, and hormonal assays to how people make decisions, published in Science, PNAS, Management Science, Nature Human Behaviour, the Journal of Marketing, and the Journal of Marketing Research [1]. He holds an NSF CAREER award (2020–2025, the NSF’s most prestigious early-career recognition), the Association for Consumer Research’s Early Career Award (2024–2025), the Association for Psychological Science’s Rising Star Award (2020), and a Poets & Quants “Best 40 Under 40” listing (2021) [1].
Nave is adjacent to management, not devoted to it. He is a marketing and consumer-neuroscience scholar; MC’s interest is a single line of his output, decision-making under AI assistance, not a career built around organizations or managers. What raises his standing beyond a one-off citation is a body of methodology work on research credibility itself: he is a co-author, alongside Colin Camerer, Anna Dreber, and Brian Nosek, of a 2018 Nature Human Behaviour study that replicated 21 experimental findings from Nature and Science (2010–2015), reproducing a significant effect in the same direction for 13 of 21 studies (62%), with replicated effect sizes averaging about half the original [2].
His more recent work sits closer to management practice. With Wharton innovation scholar Christian Terwiesch, he co-authored a 2025 Nature Human Behaviour paper, filed under the journal’s “Business and management” subject area, finding that ChatGPT decreases idea diversity in group brainstorming [3]. Combined with the cognitive-surrender paper, that gives him a small but genuine and current thread on how AI changes group and individual decision quality: the specific claim MC cites him for. He does not carry standing on organizational design, leadership, or people management; treat him as a credible instrument for “what does controlled experimental evidence say about people’s cognition when AI is in the loop,” not as a general management authority.