Stanford University
Showing 161-180 of 257 Results
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Charmaine Fay Carcallas Soco
Postdoctoral Scholar, Stem Cell Transplantation
BioCommunity Engagement Liaison serving the Stanford University Postdoctoral Association (SURPAS)
Co-chair of JEDI-SURPAS
https://surpas.stanford.edu/about/the-surpas-leadership-team/ -
Ruyi Song
Postdoctoral Scholar, Photon Science, SLAC
BioPh.D. in Theoretical and Computational Chemistry / Materials Science
B.S. in Theoretical and Computational Chemistry / Chemical Biology
18+ high-profile publications (Nat. Chem., Nat. Commun., Phys. Rev., JACS, etc.)
1000+ citations.
Proficient in 1) quantum chemistry simulation; 2) quantum chemistry code development; 3) molecular mechanics simulation
6 years of research experience on DFT and solid-state materials/semiconductors;
5 years of research experience on MD and biological systems.
Recently march towards Machine-Learning-aided molecular simulation, property prediction, and material discovery.
Contact: ruyi.song AT stanford.edu -
Suihong Song
Postdoctoral Scholar, Energy Resources Engineering
BioSuihong Song collaborates with Professor Tapan Mukerji at the Stanford Center for Earth Resources Forecast (SCERF) as a postdoctoral scholar. His research is centered on integrating machine learning with geosciences, specifically focusing on machine learning-based reservoir characterization and geomodelling, Physics-informed Neural Networks (PINNs) and neural operators as well as their applications in porous flow simulations, neural networks-based surrogate and inversion, decision-making under uncertainty, and machine learning-based geological interpretation of well logs and seismic data. These research endeavors have practical applications in managing underground water resources, oil and gas exploration, geological storage of CO2, and the evaluation of hydrothermal and natural hydrogen, among others.Song proposed GANSim, an abbreviation for Generative Adversarial Networks-based reservoir simulation, which presents a reservoir geomodelling workflow. This innovative approach has been successfully implemented in various 3D field reservoirs by international oil companies, including ExxonMobil.
