School of Engineering
Showing 1-10 of 23 Results
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Lei (Stanley) Qi
Associate Professor of Bioengineering
BioDr. Lei (Stanley) Qi is an Associate Professor of Bioengineering, an Institute Scholar at Sarafan ChEM-H, and a Chan Zuckerberg Biohub Investigator. He earned B.S. in Physics and Mathematics from Tsinghua University and Ph.D. in Bioengineering from UC Berkeley. Before joining the Stanford faculty in 2014, Dr. Qi was a Systems Biology Faculty Fellow at UCSF.
Dr. Qi is a pioneer in CRISPR technology development, particularly in the areas of epigenetic regulation and chromatin DNA imaging. He invented the first nuclease-deactivated Cas9 (dCas9) system for targeted gene regulation in living cells. His lab has since expanded the CRISPR-dCas toolbox, including new tools and variants like hyperCas12a and the compact CasMINI. These new technologies have enabled CRISPRi and CRISPRa for targeted gene repression and activation in various cells and organisms, large-scale genetic perturbation screens, and precision epigenetic editing in primary cells. His lab also developed technologies for dynamic chromatin DNA imaging in live cells (LiveFISH), 3D genome structure manipulation (CRISPR-GO), and multiplexed transcriptome engineering (MEGA).
Dr. Qi has used these new technologies to make key discoveries in epigenetics, such as the synergistic functions of enhancer elements in cancer gene regulation, metabolic pathways in T cell dysfunction, and novel antivirals against RNA viruses. Dr. Qi’s current research explores synthetic biology, epigenetics, immune cell engineering, and innovative targets for gene therapy in immunology and neurobiology. -
Gary Qian
Ph.D. Student in Management Science and Engineering, admitted Autumn 2021
BioI am currently a 2nd year PhD student in Management Science and Engineering at Stanford working with Professor Margaret Brandeau. My research focuses on the development of applied mathematical, economic models, and machine learning models to support health policy decisions. My recent work has been focused on HIV prevention and treatment programs, programs to control US opioid epidemic, and policies for minimizing spread of infectious diseases (including COVID-19).
I am passionate about using optimization theory and machine learning to implement scalable solutions in solving complex, real-world problems including but not limited to applications in healthcare. -
Anthony Qin
Masters Student in Computer Science, admitted Autumn 2022
BioFreshman at Stanford University interested in Engineering (Computer Science, MS&E, Mechanical Engineering) and music (Saxophone Performance).
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Jian Qin
Associate Professor of Chemical Engineering
BioJian Qin is an Associate Professor in the Department of Chemical Engineering at the Stanford University. His research focuses on development of microscopic understanding of structural and physical properties of soft matters by using a combination of analytical theory, scaling argument, numerical computation, and molecular simulation. He worked as a postdoctoral scholar with Juan de Pablo in the Institute for Molecular Engineering at the University of Chicago and with Scott Milner in the Department of Chemical Engineering at the Pennsylvania State University. He received his Ph.D. in the Department of Chemical Engineering and Materials Science at the University of Minnesota under the supervision of David Morse and Frank Bates. His research covers self-assembly of multi-component polymeric systems, molecular origin of entanglement and polymer melt rheology, coacervation of polyelectrolytes, Coulomb interactions in dielectrically heterogeneous electrolytes, and surface charge polarizations in particulate aggregates in the absence or presence of flow.
