Stanford University
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Sabrina Nicacio
Masters Student in Aeronautics and Astronautics, admitted Autumn 2025
BioSabrina Nicacio is a Knight-Hennessy Scholar and graduate student in Aeronautics and Astronautics at Stanford University, specializing in Guidance, Navigation, and Control (GNC). She earned her B.S.E. in Mechanical and Aerospace Engineering from Princeton University with a Minor in Robotics and Intelligent Systems.
Sabrina has delivered technical results across leading aerospace institutions—designing flight hardware for Starship launch operations at SpaceX, developing multi-robot navigation algorithms for NASA JPL’s CADRE lunar mission at Stanford, and improving heat treatment processes for 3D-printed turbine blades at MIT. Her senior thesis at Princeton introduced a fuel-optimal reconfiguration framework for satellite swarms, applying convex optimization to orbital dynamics.
Sabrina is focused on building scalable, autonomous systems for spacecraft coordination and precision navigation. Her work reflects a deep technical foundation and a drive to solve mission-critical challenges in spaceflight. -
Ariadne Nichol
Affiliate, Department Funds
Resident in MedicineBioAriadne Nichol is a resident physician in Internal Medicine at Stanford and a researcher at the Stanford Center for Biomedical Ethics. She earned her bachelor’s degree in Human Biology from Stanford University, where she graduated with Honors in Ethics in Society and was named a Public Service Scholar. She earned her medical degree from the UC San Diego School of Medicine, where she developed a biomedical ethics course and received a teaching award from the School of Medicine. She has previously worked on global public health research ethics topics with the World Health Organization, Doctors Without Borders, and the National Public Health Organization of Greece. Her work has been published in several peer-reviewed journals, including the American Journal of Bioethics, PLOS ONE, and JAMA Network Open. Her research interests include ethical issues in biomedical research involving vulnerable populations, as well as the ethical and social implications of big data and machine learning in health care and for precision medicine.
