Stanford University
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Xingyuan Zhang
Ph.D. Student in Chemistry, admitted Autumn 2023
Ph.D. Minor, Computer ScienceBioPhD candidate in Chemistry and Computer Science, affiliated with the Wu Tsai Neurosciences Institute and the ChEM-H Institute at Stanford. Investigating the molecular mechanisms underlying chronic diseases, cancer and fibrosis, with interest on applying ML/DL approaches to drug discovery and disease modeling.
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Alfred Zong
Assistant Professor of Physics and Applied Physics
BioI am an assistant professor in the Departments of Physics and of Applied Physics, and my group focuses on the study of light-induced non-equilibrium phenomena in quantum materials. To capture the ultrafast dynamics on the nanoscale, we develop a variety of techniques such as ultrafast electron diffraction and microscopy, attosecond transient absorption spectroscopy, and coherent diffraction imaging. These time-resolved probes are integrated with a complex sample environment such as in-situ strain and electrostatic gating in order to design, discover, and understand non-equilibrium phases of quantum materials.
We are seeking motivated undergraduates, graduate students, and postdocs to join the group. Please email me directly to discuss opportunities.
For more details, check out the group website at https://zonglab.stanford.edu/ -
Tijana Zrnic
Asst Professor
BioTijana Zrnic is an Assistant Professor at Stanford University, jointly appointed between Statistics, Management Science & Engineering, and, by courtesy, Computer Science. She works on foundational questions in machine learning, statistics, and data-driven decision-making. Example topics of interest include AI-assisted statistical inference and data collection, performative prediction, and studying selection bias.
