Hello, I'm Adam Langshaw
Stanford '29 · Medicine, Health Policy & Technology · Miami, Florida
Get in touchAbout
Adam Langshaw is a Stanford student working at the intersection of neuroscience, health policy, and technology, with a long-term goal of shaping how medicine, systems, and institutions work at scale. His academic focus blends pre-medical science with computing and policy, reflecting a belief that the future of healthcare will be driven as much by data, infrastructure, and incentives as by biology alone.
He has conducted research on health inequities in cystic fibrosis, worked on scientific writing and conference-level projects, and is especially interested in how predictive tools, wearables, and AI can shift healthcare from reactive to preventative. Beyond medicine, he studies economic systems, public policy, and institutional design—drawn to the question of how complex organizations endure, grow, and serve society over decades.
Adam writes and thinks frequently about admissions systems, higher-ed policy, healthcare models, and economic structure, and enjoys translating complex topics into clear arguments. He is equally comfortable discussing protein structure prediction, capital markets, or the political trade-offs behind social programs.
Outside academics, he's a lifelong car enthusiast, recreational athlete, and builder at heart—someone who enjoys assembling things, whether that's research projects, technical systems, or long-term career plans. He brings a high-velocity, systems-level mindset to everything he does: zooming out to understand the big picture, then drilling down to execute.
He writes for The Stanford Daily and you can connect on LinkedIn.
Research
Published research and academic work.
Opinion & Writing
Selected pieces for The Stanford Daily. View all my articles →
Portfolio
Web apps and side projects.
Health Policy Simulator
Explore trade-offs: Who pays for lunch? A simulation engine for health policy outcomes.
Algorithmic Bias Explorer
Interact with a toy model of racial bias in decision algorithms and see how fairness metrics shift by group.
Contact
Feel free to reach out. I’d love to hear from you.