astronomy

Jure Leskovec

Jure Leskovec is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Jure Leskovec rather than just read about it. In short: Jure Leskovec (born May 1980) is a Slovenian computer scientist, entrepreneur and professor of Computer Science at Stanford University focusing on networks. He was the chief scientist at Pinterest and co-founder / chief scientist AI graph-ML startup Kumo.

Key takeaways

Jure Leskovec belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Jure Leskovec to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Jure Leskovec from memory before moving on to harder problems.

Reference excerpt

Jure Leskovec (born May 1980) is a Slovenian computer scientist, entrepreneur and professor of Computer Science at Stanford University focusing on networks. He was the chief scientist at Pinterest and co-founder / chief scientist AI graph-ML startup Kumo.

Early life and education Leskovec was born in May 1980 in Ljubljana, Slovenia. In 2004, Leskovec received a Diploma in Computer Science from the University of Ljubljana, Slovenia, researching semantic networks-based creation of abstracts, using machine learning; in 2008 he received a PhD in Computational and Statistical Learning from the Carnegie Mellon University. After finishing his PhD, Leskovec worked as a postdoctoral fellow at Cornell University for a year. During this time, he was advised by Jon Kleinberg.

Research and career After his postdoctoral stint at Cornell University, Leskovec joined the faculty of Stanford University as an assistant professor in the Department of Computer Science in 2009. He was promoted to associate professor with tenure in 2016. His general research area is applied machine learning and data science for large interconnected systems. His work focuses on modeling complex, richly-labeled relational structures, graphs, and networks for systems at all scales, from interactions of proteins in a cell to interactions between humans in a society. His research finds applications in a variety of settings including commonsense reasoning, recommender systems, computational social science, and computational biology with an emphasis on drug discovery. Leskovec co-founded a startup called Kosei in 2014 that was acquired by Pinterest in 2015. As of 2025, Leskovec is working on another startup called Kumo AI, which helps Data Scientists ship predictive models faster and more accurately.

Awards and honors Microsoft Research Faculty Fellowship, 2011. Alfred P. Sloan Fellowship, 2012. Lagrange Prize, 2015. SIGKDD Innovation Award, 2023.

Select publications Jon Kleinberg; Himabindu Lakkaraju; Jure Leskovec; Jens Ludwig; Sendhil Mullainathan (26 August 2017). "Human Decisions and Machine Predictions". The Quarterly Journal of Economics. 133 (1): 237–293. doi:10.1093/qje/qjx032. ISSN 0033-5533. PMC 5947971. PMID 29755141. Zbl 1405.91119. Wikidata Q54963122. Aditya Grover; Jure Leskovec (August 2016). "node2vec: Scalable Feature Learning for Networks". Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining. 2016: 855–864. arXiv:1607.00653. doi:10.1145/2939672.2939754. ISSN 2154-817X. PMC 5108654. PMID 27853626. Wikidata Q28595865. William L. Hamilton; Rex Ying; Jure Leskovec (2017). "Inductive Representation Learning on Large Graphs" (PDF). Advances in Neural Information Processing Systems 30. Advances in Neural Information Processing Systems. arXiv:1706.02216. doi:10.48550/arxiv.1706.02216. Wikidata Q44546984.

References

Illustrations

Worked examples

Example 1 — a first encounter with Jure Leskovec

Start with the simplest possible case. Write down what Jure Leskovec claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Jure Leskovec before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Jure Leskovec ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Jure Leskovec

In research: Jure Leskovec appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Jure Leskovec in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Jure Leskovec is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1980 births, Carnegie Mellon University alumni, Living people, so understanding it makes those chapters shorter.
In everyday life: Look for Jure Leskovec outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Jure Leskovec in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Jure Leskovec means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Jure Leskovec out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Jure Leskovec in simple terms?

Why does Jure Leskovec matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Jure Leskovec?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Jure Leskovec.