Stanford University
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Yutong Zhu
MBA, expected graduation 2023
Masters Student in Environment and Resources, admitted Spring 2022BioWhen in school, I won a nationwide competition in China to make art out of trash. I built a miniature “Olympic stadium” from styrofoam, a winning submission whose prize was a week-long trip to Hong Kong to learn about recycling. Visiting the city’s recycling facilities changed my life: growing up in the heavily polluted city of Xi’an in the 90s, Hong Kong’s cleanliness shocked me. It was my first encounter with the term “sustainability” and determined my career’s trajectory.
Carbon-capture materials, hydrogen-producing catalysts, energy-efficient aluminum production: all the products and processes that I developed and commercialized at Australia’s national lab have eliminated millions of tons of carbon dioxide and saved clients millions of dollars in energy expenses. I also helped two battery startups commercialize their technologies, and I evaluated hundreds of climate tech companies at an early-stage venture capital firm.
Equipped with ten years experience commercializing deep tech from zero to one in the sustainability and climate space, I want to build and scale high-efficiency, mass-market climate solutions after Stanford. Interested? Let’s chat. -
Orr Zohar
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
Masters Student in Computer Science, admitted Autumn 2023BioOrr Zohar, from Haifa, Israel, is pursuing a PhD in electrical engineering at Stanford School of Engineering. He graduated summa cum laude from the Technion with a bachelor's degree in chemical engineering and a master’s degree in electrical engineering. Orr aspires to research, develop, and translate novel machine learning methods into the open surgical domain for applications such as AI-assisted surgery and surgical skill evaluation. Currently, developing novel learning methods in open-world learning and action quality evaluation at MARVL, advised by Prof. Serena Yeung.
Before coming to Stanford, he was a machine learning and algorithms engineer at proteanTecs and a junior researcher at the Technion's LNBD, where he developed soft electronic platforms that can heal, detect damage, and serve as multifunctional electronic skins. During his undergraduate degree, Orr worked as a visiting undergraduate researcher at the de la Zerda group, Stanford University, where he developed OCT image processing algorithms for improved molecular contrast and depth-of-field. Orr is a Bazan Group scholar and was awarded the Sieden family prize for his contributions to YBCO-based photon detectors' development. -
Andrea Zorzi
Ph.D. Student in Geological Sciences, admitted Autumn 2020
BioBorn in Venice, Italy, I earned my BSc in Aerospace Engineering at Università degli Studi di Padova in 2017. For my MSc degree, I moved to the Netherlands and graduated in Aerospace Engineering at TU Delft in 2019, focusing on space flight, planetary sciences and radiative transfer modeling. Afterwards, I spent a year at the Max Planck Institute for Solar System Research in Göttingen (Germany), conducting research on neural network applications for cometary gas expansion studies.
I've joined Stanford as a GS graduate student in Fall 2020 and I am part of the Planetary Modeling Group led by Prof. Schaefer.
My focus is on planetary impacts, how they affect the climate and chemical evolution of the atmospheres of planets in their early stages.
