アンナ＝ローラ・ル・クンフは、好奇心、学習、注意のしくみを研究する神経科学者、起業家、著述家。グーグルのデジタルヘルス分野で働き、Google Fitのグローバル・マーケティングを担当した。その後、キングス・カレッジ・ロンドンで応用神経科学の修士号と心理学・神経科学の博士号を取得し、2024年に博士課程を修了した。同大学の精神医学・心理学・神経科学研究所では、ADHDと好奇心の関係を研究した。研究では、強い好奇心が学びを促す面と注意をそらす面の両方に着目し、学習者の神経学的な特性とオンライン学習の認知負荷の関係などを調べた。学習コミュニティNess Labsを創設し、ニュースレターや講座を通じて、神経科学の知見を仕事、創造性、生涯にわたる学びに結びつける活動も行った。『予想だにしないほど人生が大きく動き出す 小さな実験』（原題 “Tiny Experiments: How to Live Freely in a Goal-Obsessed World”）では、あらかじめ一つの到達点を決めて進む人生観を問い直し、好奇心を手がかりに期間や範囲を限った行動を試し、結果を観察して次の選択を考える方法を示した。目標設定だけでなく、先延ばし、完璧主義、時間の使い方、振り返りや学びの共有を扱い、不確かな状況のなかで小さく試し、方向を調整する実践を述べた。
Anne-Laure Le Cunff is a neuroscientist, entrepreneur and writer studying curiosity, learning and attention. She worked in digital health at Google, including global marketing for Google Fit, before pursuing an MSc in Applied Neuroscience and a PhD in Psychology and Neuroscience at King’s College London. She completed her doctorate in 2024. At the university’s Institute of Psychiatry, Psychology and Neuroscience, her research examined the relationship between ADHD and curiosity, considering how a strong drive to explore can support learning while also contributing to distraction. Her work included investigating neurodivergence and cognitive load in online learning. She founded Ness Labs, a learning community and online school, and used its newsletter and courses to connect neuroscience with work, creativity and lifelong learning. Her book Tiny Experiments: How to Live Freely in a Goal-Obsessed World, published in Japanese as 予想だにしないほど人生が大きく動き出す 小さな実験, questioned the expectation that people should define a fixed destination and follow a linear path toward it. Instead, it proposed using curiosity to design small, bounded trials, observing what happens and allowing those observations to inform subsequent decisions. Alongside goal setting, the book addressed procrastination, perfectionism, the experience of time, reflection and sharing work in progress. It connected her research and educational activities with practical ways to test possibilities and adjust direction under uncertainty.
