School of Humanities and Sciences
Showing 21-40 of 446 Results
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Yvonne Boesch
Postdoctoral Scholar, Biology
BioYvonne received her Bachelor’s and Master’s degrees from ETH Zurich and obtained her PhD in Biology, specializing in fungal denitrification, from the Swedish University of Agricultural Sciences (SLU) in Uppsala under the guidance of Prof. Sara Hallin.
In January 2025, she joined the Peay Lab as a postdoctoral scholar, supported by the Swedish Wallenberg postdoctoral scholarship program.
Yvonne is fascinated by the intricate interactions among microbes and their relationships with higher organisms, such as plants. Her research focuses on exploring how these complex relationships impact plant health, forest productivity, and resilience in the face of changing environments. -
Raphael Bonetti
Postdoctoral Scholar, Psychology
BioRaphaël Bonetti is a postdoctoral scholar in the Stanford Psychophysiology Laboratory (SPL) and the Wu Tsai Human Performance Alliance. His research focuses on emotion regulation, performance, and well-being in elite athletes. He combines randomized field trials in real competitive settings with qualitative work on how athletes experience and regulate emotion in their sport. His current projects test whether a digital mindsets intervention can improve performance and well-being in both collegiate and professional athletes. Raphaël received his M.Sc. in Psychology from the University of Geneva and his Ph.D. in Psychology from the University of Lausanne. He is also a certified sport psychologist (FSP) who has worked with Olympians and elite athletes in a wide range of sports, including American football, basketball, boxing, climbing, cycling, equestrian, figure skating, golf, gymnastics, MMA, sailing, skiing, soccer, swimming, tennis, track and field, triathlon, and volleyball. For professional inquiries, contact rbonetti@stanford.edu.
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Anna Bui
Postdoctoral Scholar, Chemistry
BioAnna is a theoretical chemist and currently a Stanford Science Fellow at Stanford University. She studies how fluids behave across length scales, from molecular interactions to macroscopic flow. My research combines statistical physics, computer simulation, and machine learning to develop predictive theories for water, ions, and electrolytes, with applications in energy, nanofluidics, and functional materials.
She obtained her PhD in 2026 at the University of Cambridge, where she developed multiscale frameworks linking microscopic solvation and transport to collective phenomena.
