Stanford University
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Yiqing Xu
Associate Professor of Political Science
BioDr. Xu’s research focuses on political methodology (particularly causal inference) and comparative politics. He received his PhD in Political Science from the Massachusetts Institute of Technology in 2016, an MA in Economics from Peking University in 2010, and a BA in Economics from Fudan University in 2007.
His work has been published in leading journals, including American Political Science Review, American Journal of Political Science, The Journal of Politics, Political Analysis, Journal of the American Statistical Association, Journal of Economic Perspectives, and Nature Human Behaviour.
He has received numerous professional awards, including the John T. Williams Dissertation Prize (2014), Best Article Award from American Journal of Political Science (2016), Miller Prize (2018, 2020), Editors’ Choice Award from Political Analysis (2018, 2025), Best Statistical Software Award (2024, 2025), and Emerging Scholar Award from the Society for Political Methodology (2024).
Dr. Xu is affiliated with the Stanford Causal Science Center and the Stanford Center on China’s Economy and Institutions, as well as other research institutions. -
Honglei Xun
Affiliate, Jasper Ridge
BioI am a California Naturalist, Midpeninsula docent, and lifelong learner with a background in finance and product management. I came to the U.S. as an international student and later built a career in technology. Over time, I felt drawn back to ecology—particularly field observation, plant–fungus relationships, and the natural and cultural history of landscapes.
I am taking courses at Jasper Ridge to train my eye, ground my understanding in science, and learn directly from living systems. I am especially interested in how ecological knowledge can be translated into meaningful public interpretation, so that people without formal science backgrounds feel welcomed into nature.
I hope to be known as someone who listens closely to the land, learns carefully, and shares knowledge in a way that is accessible, thoughtful, and rooted in place. -
Pavan Yadav
Postdoctoral Scholar, Chemistry
BioI am a Postdoctoral Researcher at Stanford University in the laboratory of Professor Paul A. Wender, where I work on the development of delivery technologies for RNA therapeutics, including mRNA, circular RNA (circRNA), and oligonucleotide-based medicines. My current research focuses on lipid nanoparticles (LNPs) and transporter-based systems for targeted nucleic acid delivery, with the goal of advancing the translation of genetic medicines.
I received my Ph.D. in Pharmaceutical Sciences from CSIR–Central Drug Research Institute (CSIR-CDRI), India. During my doctoral training, I specialized in nanomedicine, drug delivery, pharmacokinetics, and bioanalytical method development, with a particular focus on developing nanocarrier-based therapeutic strategies for cancer treatment. Prior to my Ph.D., I earned both my Bachelor of Pharmacy and Master of Pharmacy degrees from Mahatma Jyotiba Phule Rohilkhand University, India.
My research interests span RNA therapeutics, drug delivery, nanomedicine, lipid nanoparticle engineering, pharmacokinetics, and translational pharmaceutical sciences. I have experience in the design, formulation, and biological evaluation of diverse delivery systems, including lipid nanoparticles, liposomes, nanoemulsions, polymeric carriers, and other nanomaterial-based therapeutic platforms. My work integrates formulation science, biological evaluation, and preclinical studies to improve the delivery and performance of therapeutic agents.
I have authored more than 35 peer-reviewed publications in journals such as Nature Communications, ACS Applied Materials & Interfaces, International Journal of Pharmaceutics, Nanomedicine, and Bioanalysis. I am particularly interested in developing innovative delivery approaches that bridge fundamental research and clinical translation, with the ultimate goal of improving treatment options for patients. -
Daniel Yamins
Associate Professor of Psychology and of Computer Science
Current Research and Scholarly InterestsOur lab's research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. It is founded on two mutually reinforcing hypotheses:
H1. By studying how the brain solves computational challenges, we can learn to build better artificial intelligence algorithms.
H2. Through improving artificial intelligence algorithms, we'll discover better models of how the brain works.
We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis. -
Ryan Yan Yan
Ph.D. Student in Psychology, admitted Autumn 2022
Master of Arts Student in Psychology, admitted Summer 2025Current Research and Scholarly InterestsI am interested in value computation and representation in the brain, as well as the individual differences in this process in healthy people and people with mood disorders. I am also interested in how reward processing interplays with subjective feeling states such as mood and motivation.
