• 01 Mar, 2025

Announcing the 2025 Shortlist for the Sony Women in Technology Award with Nature

Announcing the 2025 Shortlist for the Sony Women in Technology Award with Nature

NEW YORK and LONDON and BERLIN and TOKYO, Nov. 21, 2024 -- Sony Group Corporation (Sony) and Nature today announced the shortlist for the Sony Women in Technology Award with Nature. From this shortlist, three Sony Women in Technology Award with Nature awardees will be selected to receive the prize. The winners will be announced on February 5, 2025 at an award ceremony in Tokyo.

Launched in March 2024, The Sony Women in Technology Award with Nature will recognize outstanding early to mid-career researchers from the field of technology with a prize of $250,000 USD each to support their research and accelerate achievements that will drive positive impact in the world. In its inaugural year, the award received high-caliber applications from a multidisciplinary pool of researchers located across the globe who are spearheading technological breakthroughs for the betterment of society. The following seven researchers were identified by an independent judging panel as the strongest candidates for the award, evaluated on the merits of ambition, innovation, conceptual excellence, impact, and social significance.

<Shortlist>

  • Kiana Aran, University of California at San Diego, USA
    Dr. Kiana Aran, Professor of Bioengineering and Medicine at UC San Diego, is pioneering the integration of modern electronics with biology to develop technologies for precision medicine. She has received numerous engineering and product awards, including honors from the US National Academy of Inventors. She co-founded Cardea, later acquired for its graphene biosensors, and co-founded CRISPR QC to enhance gene-editing precision. An advocate for diversity, she established a non-profit to mentor women engineers and promotes international scientific collaboration.

  • Hatice Gunes, University of Cambridge, United Kingdom
    Hatice Gunes is a Full Professor of Affective Intelligence and Robotics and the director of the AFAR Lab at the University of Cambridge's Department of Computer Science and Technology. She spearheads award-winning research on multimodal, social, and affective intelligence for AI systems, particularly embodied agents and robots, by cross-fertilizing research in the fields of Machine Learning, Affective Computing, and Human Nonverbal Behavior Understanding. She is a Fellow of the EPSRC, Staff Fellow of Trinity Hall, a former Faculty Fellow of the Alan Turing Institute, and a former President of the Association for the Advancement of Affective Computing.

  • Jiawen Li, University of Adeleide, Australia
    Dr. Jiawen Li is a highly adaptable biomedical engineer leading the intravascular imaging program at the University of Adelaide as an Associate Professor. She received her bachelor's degree from Zhejiang University in 2010, and her PhD from University of California Irvine in 2015. Her innovations have led to her being selected as Fellow of National Health and Medical Research Council, National Heart Foundation and L'Oréal-UNESCO, and winning numerous prestigious honors.

  • Xiaona Li, Eastern Institute of Technology, Ningbo, China
    Dr. Xiaona Li is the Associate Professor at Eastern Institute of Technology, Ningbo in China. She leads a collaborative and innovative research team in the fields of halide solid electrolytes and all-solid-state batteries. Her laboratory research aims to expand the technical route of the halide system in all-solid-state lithium-ion batteries by developing a new generation of halide solid electrolyte materials and elucidating the mechanisms of solid-state ion conduction, significantly improving the performance of all-solid-state power batteries.

  • Amanda Randles, Duke University, USA
    Dr. Amanda Randles is the Alfred Winborne Mordecai and Victoria Stover Mordecai Associate Professor of Biomedical Sciences at Duke University, with expertise in high performance computing, machine learning, and personalized modeling for disease diagnostics and treatment. She is an ACM Prize in Computing, NIH Pioneer Award, and NSF CAREER Award recipient. Randles received her Ph.D. in Applied Physics from Harvard and, prior to graduate school, worked at IBM on the Blue Gene supercomputing team.

  • Yating Wan, King Abdullah University of Science and Technology, Saudi Arabia
    Dr. Yating Wan is an Assistant Professor at KAUST, specializing in Silicon

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