computer science

Mark Handley (computer scientist)

Mark Handley (computer scientist) is a computer science 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 Mark Handley (computer scientist) rather than just read about it. In short: Mark James Handley is Professor of Networked Systems in the Department of Computer Science of University College London since 2003, where he leads the Networks Research Group. and also works at OpenAI on high performance networks for AI training clusters. Education Handley received his PhD from UCL in 1997, under the supervision of Jon Crowcroft.

Key takeaways

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

Reference excerpt

Mark James Handley is Professor of Networked Systems in the Department of Computer Science of University College London since 2003, where he leads the Networks Research Group. and also works at OpenAI on high performance networks for AI training clusters.

Education Handley received his PhD from UCL in 1997, under the supervision of Jon Crowcroft.

Career and research While at the International Computer Science Institute (ICSI), Handley co-founded the AT&T Center for Internet Research, as well as the XORP open-source router project (2000). Handley is a contributor to Internet Engineering Task Force (IETF) standards and a member of the IETF Routing Area Directorate and the Transport Area Directorate. Previously he was a member of the Internet Architecture Board (IAB) and chaired the IETF Multiparty Multimedia Session Control working group and the IRTF Reliable Multicast Research Group. He is the author or co-author of 34 Request for Comments (RFCs), including the Session Initiation Protocol, Multipath TCP and a series of other network protocols. In 2019 he co-founded Correct Networks with Costin Raiciu to develop high performance protocols for AI networking. Correct Networks was acquired by Broadcom in 2022. At Broadcom, he worked to develop the Ultra Ethernet Transport protocol. In 2024 he moved to OpenAI to work on networking for very large AI training clusters, where he co-authored MRC (Multipath Reliable Connection) which OpenAI uses to network their training supercomputers.

Awards and honours Handley was awarded a Royal Society Wolfson Research Merit Award in 2003, and received the 2007 Roger Needham Award. He was the recipient of the 2012 IEEE Internet Award "For contributions to Internet multicast, telephony, congestion control and the shaping of open Internet standards and open-source systems in all these areas.", and the 2019 SIGCOMM Award "For fundamental contributions to Internet multimedia, multicast, congestion control and multi-path networks, and the standardization of Internet protocols in these domains". Handley was elected Fellow of the Royal Society (FRS) in 2019 for substantial contributions to the improvement of natural knowledge.

References

Illustrations

Worked examples

Example 1 — a first encounter with Mark Handley (computer scientist)

Start with the simplest possible case. Write down what Mark Handley (computer scientist) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, 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 Mark Handley (computer scientist) 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 Mark Handley (computer scientist) 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 Mark Handley (computer scientist)

In research: Mark Handley (computer scientist) appears in computer science 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 Mark Handley (computer scientist) 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: Mark Handley (computer scientist) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Academics of University College London, British computer scientists, Fellows of the Royal Society, so understanding it makes those chapters shorter.
In everyday life: Look for Mark Handley (computer scientist) 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 Mark Handley (computer scientist) in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Mark Handley (computer scientist) 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 Mark Handley (computer scientist) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Mark Handley (computer scientist) in simple terms?

Why does Mark Handley (computer scientist) matter?

Because it connects several computer science 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 Mark Handley (computer scientist)?

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 Mark Handley (computer scientist).