Stanford Data Science focuses on enabling data-driven discovery at scale and expanding data science education across Stanford and beyond. It supports early-career researchers and offers programs for collaboration in various data science disciplines.

Stanford Data Science

Stanford Data Science | 1,166 followers on LinkedIn. Enabling data-driven discovery at scale, and expanding data science education -- at Stanford and beyond | The mission of Stanford Data Science is to weave data science research and methods into the University&#39;s fabric, giving our faculty and students the tools, skills, and understanding they need to do the cutting-edge research that will drive 21st-century scholarship and education. Learning from data is hard, but the future of knowledge creation and our university is at stake.

Research Development Strategist/Grant Writer

Susan Salkind

B.S. Candidate, Mathematical and Computational Science, Stanford University

Robert Thompson

Sophomore at Stanford University

Sean Nesamoney

🌟Open to all!🌟 📝 Register here: https://lnkd.in/gT4H7aRX

Hot off the press! Brian Hie , SDS Faculty is on the cover of Science magazine: https://lnkd.in/eR6hAdZc Brian is Assistant Professor of Chemical Engineering and The Dieter Schwarz Foundation SDS Faculty Fellow at Stanford University, and an Innovation Investigator at Arc Institute.

💎Integrating AI into the Data Scientist's Workflow Symposium💎 Please join us on December 3 for an interactive symposium where experts on AI for data science will discuss: 🔸 How AI can be integrated into the workflow to gain efficiency and advance translational research 🔸 The challenges and solutions of integrating AI into the workflow with respect to rigor and ethics 🔸 The implications of AI integration on training the next generation of data scientists, and more! 👉🏾 Register here: https://lnkd.in/gT4H7aRX

🚨Are you a recent PhD graduate ready to make a mark in interdisciplinary research? We're looking for candidates with expertise in data science and its application in a wide range of fields, from the sciences to the arts. Join us as a postdoctoral fellow starting in Autumn 2025. The application deadline is January 13, 2025! 👉🏽 Learn more: https://lnkd.in/gr7UWR4j

🚨🚨🚨 Stanford Data Science fierce Faculty Director Emmanuel Candes was interviewed by Steve Strogatz on "The Joy of Why" podcast to talk about "How Is Al Changing the Science of Prediction?" Enjoy! 🔗 Key links: 🎙️ https://lnkd.in/gDmv8dAk 🎙️ https://lnkd.in/gbNAEhfv 🎙️ https://lnkd.in/gvQx7qzj

Congratulations to Russell Poldrack for winning this year's international research prize from Rigshospitalet . Russ is being honored for his long-standing contributions to neuroscience, data sharing, and open science, as well as for his extensive collaboration with researchers at Rigshospitalet. 🎉🎉🎉🎉

Our Bay Area Tech Economics Seminar with Dr. Erik Brynjolfsson is this evening! 🎟️ A few seats are still available! Register here: https://lnkd.in/gtEm5fEN

[Repost from Instagram] @stanfordVPGE Alexandra DiGiacomo (@alexandra_digi ), a PhD Candidate in Biology at Stanford's @hopkinsmarinestation, shares what drives her passion for marine science and conservation. As a 2021 Stanford Graduate Fellow, Alexandra delves into her research on how large-bodied predators, like juvenile white sharks, use coastal habitats for critical behaviors in a rapidly changing environment. Working in the lab of marine scientist Barbara Block, a professor in @stanford.doerr and School of Humanities and Sciences, DiGiacomo reflects on the innovative technologies she employs in her work and highlights a standout experience from her time at Stanford. #stanford #stanforduniversity #stanfordgrad #hopkinsmarinestation #marineconservation https://lnkd.in/ga2HmYpX

Registration is now open for the upcoming Bay Area Tech Economics Seminar on Thursday, November 7th, 2024, 6:30-8:30 PM: https://lnkd.in/gtEm5fEN Dr. Erik Brynjolfsson , Professor and Senior Fellow, Human-Centered Artificial Intelligence, Stanford University, and one of the most-cited authors on the economics of Information will talk about "GDP-B: Accounting for the Value of New and Free Goods in the Digital Economy." A Q&A about AI will follow. We hope to see you there!

On October 11th, the Stanford Causal Science Center held a one-day conference with presentations by brilliant graduate students and postdocs working on methods for and applications in causal inference. Check out the posters and abstracts from our speakers! https://lnkd.in/gvJ_BH8J

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