Stanford University
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Orr Zohar
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
BioOrr Zohar is a PhD candidate in Electrical Engineering at Stanford University and a Knight-Hennessy Scholar. He builds large-scale multimodal foundation models - spanning data curation, pretraining, and post-training - with a focus on video understanding, long-horizon reasoning, and robust transfer under real-world distribution shift. His work includes open-source model and dataset efforts and methods for evaluation and alignment of multimodal systems, with an emphasis on turning research into deployment-ready learning systems.
Before Stanford, he earned a BSc in Chemical Engineering (summa cum laude) and an MSc in Electrical Engineering from the Technion–Israel Institute of Technology, and worked as a machine learning and algorithms engineer at proteanTecs. Earlier research experiences include applied sensing and medical-imaging work. -
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.
Personal website: https://azorzi.github.io/
