Cao Yuan

Researchers / independent engineers · Science/Research · milestone at age 22 ·T2 Field-leading

Milestone (age 22)

At age 22, published two papers in Nature on magic-angle twisted bilayer graphene, discovering unconventional superconductivity and spurring a new field of twistronics; named #1 on Nature's 10 people who mattered in 2018.

Cao was born in Chengdu and attended Shenzhen Yaohua Experimental School's gifted program, completing seven years of schooling in three. He entered USTC's Special Class for the Gifted Young at 14, graduated at 18, and joined Pablo Jarillo-Herrero's group at MIT where he discovered magic-angle graphene superconductivity at 22.

Think your path resembles Cao Yuan's?Compare the visible ingredients, then see exactly where the comparison stops working.

Am I the next Cao Yuan? →

Starting point

Born 1996 in Chengdu, Sichuan, China; admitted to the Special Class for the Gifted Young at the University of Science and Technology of China at age 14, graduating with a BS in physics at age 18.

Current position (2025)

Assistant Professor of Electrical Engineering and Computer Science at UC Berkeley; former Harvard Junior Fellow.

How this path compounded

01 Starting advantages

8/24 starting-position score

Strongest documented signals: Elite institution pipeline, Frontier geography, Rare early tools.

Describes the starting position, not what the person later made of it.

Cohort percentile: 74

02 Built or converted leverage

15/25 multiplying-capacity score

Strongest observed levers:Domain proximity, Started serious reps before 20, Prior reps.

Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.

Cohort percentile: 83

03 Compounding trajectory

9 documented steps

The timeline below shows the sequence of work and transitions around the selected early milestone. It is evidence of a path, not proof that every step was necessary.

Milestone at age 22

04 Observed career standing

T2 · Field-leading

Dominant figure at the top of a field. The tier summarizes documented career recognition through the data cutoff—not Cao Yuan's worth or future potential.

How tiers work →

Question four · where did the leverage come from?

Cao Yuan's leverage provenance

Each non-zero lever gets a best-supported origin, evidence signals, and confidence. Unresolved is the honest default when the biography cannot distinguish self-built, advantage-enabled, earned, external, or mixed.

Started serious reps before 201/1

Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Rare early tools (1/2)Dedicated mentor / coach (1/2)Elite institution pipeline (2/2)

Domain proximity2/2

Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Direct domain exposure (1/2)Frontier geography (2/2)Elite institution pipeline (2/2)

Prior reps2/3

Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Rare early tools (1/2)Dedicated mentor / coach (1/2)Elite institution pipeline (2/2)

Scarce skill depth2/3

Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Rare early tools (1/2)Dedicated mentor / coach (1/2)Elite institution pipeline (2/2)

Elite ecosystem network2/3

Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Elite institution pipeline (2/2)Frontier geography (2/2)

Structural wave / timing2/3

Externalmedium confidence

A structural wave is external to the person, even when their position improved access to it.

Frontier geography (2/2)

Concentration intensity2/3

Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Dedicated mentor / coach (1/2)

Complementary team1/2

Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Elite institution pipeline (2/2)

Capital safety1/2

Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Elite institution pipeline (2/2)

This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Cao Yuan's outcome attributable to any origin.

Luck is not a leftover score.

Structural luck, Encounter luck, Event luck, Outcome variance can change every arrow in the path. This successful-only dataset cannot observe the near-identical paths that did not break through, so luck stays visible and unscored.

Within Researchers / independent engineers, Cao Yuan's starting-advantage total is at the 74th percentile. Separately, their built or converted leverage total is at the 83th percentile. Other T2 profiles average 7.9 / 24 starting advantage and 12.3 / 25 leverage. Similar scores appear in other tiers, so these figures describe positioning—not a cause.

Trajectory

2010 · age 14
Admitted to USTC Special Class for the Gifted Young
Admitted to the Special Class for the Gifted Young at the University of Science and Technology of China in Hefei at age 14.
2014 · age 18
BS in physics from USTC
Graduated from USTC with a Bachelor of Science in physics; also studied as an exchange student at the University of Michigan (2012-2013).
2014 · age 18
Joined MIT for PhD
Began his PhD at MIT in Pablo Jarillo-Herrero's group, investigating the properties of twisted bilayer graphene.
2018 · age 22
Two Nature papers on magic-angle graphene
Published two landmark papers in Nature discovering unconventional superconductivity and insulating behavior in magic-angle twisted bilayer graphene, spurring the new field of twistronics.
2018 · age 22
Named #1 on Nature's 10
Named #1 on Nature's 10 people who mattered in 2018; his work was recognized as the Physics World 2018 Breakthrough of the Year.
2019 · age 23
TIME 100 Next
Named to TIME 100 Next list for rising stars in science.
2020 · age 24
PhD from MIT and Sackler Prize
Completed his PhD in electrical engineering at MIT; awarded the Sackler Prize in Physics.
2021 · age 25
Harvard Junior Fellow and McMillan Award
Began as a Junior Fellow at Harvard University (2021-2024); received the McMillan Award for contributions to condensed matter physics.
2024 · age 28
Faculty at UC Berkeley
Joined UC Berkeley as Assistant Professor of Electrical Engineering and Computer Science in July 2024.

Primary leverage engine

Technical depth

Scarce technical / intellectual depth

Secondary engine

Institutional pipeline

Built/converted leverage

15 / 25

evidence: High

Built or converted leverage

Multiplying capacity documented later in the path. Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.

Started serious reps before 20

1/1

Prior reps

2/3

Scarce skill depth

2/3

Native distribution

0/3

Elite ecosystem network

2/3

Complementary team

1/2

Structural wave / timing

2/3

Concentration intensity

2/3

Capital safety

1/2

Domain proximity

2/2

Starting-advantage scores (0–2 each)

Access or conditions documented near the beginning of the path. Zero means "no clear evidence in reviewed sources," not "advantage was absent."

Family financial platform

0/2

Parent / family domain

0/2

Inherited audience / network

0/2

Elite institution pipeline

2/2

Frontier geography

2/2

Rare early tools

1/2

Dedicated mentor / coach

1/2

Exceptional peer / cofounder

0/2

Early online platform

0/2

Direct domain exposure

1/2

Prodigy / innate ability

1/2

Adversity / constraint catalyst

0/2

Family context

Born in Chengdu, Sichuan, China; attended Shenzhen Yaohua Experimental School's gifted program from age 11.

Parent / family domain

Not documented in reviewed sources.

Archetype & tags

Institutional ecosystem accelerationgifted programUSTC Special ClassMITPablo Jarillo-Herrerographene research2D materials wave

Evidence summary

Cao was accelerated through China's gifted education pipeline: completing seven years of schooling in three at Shenzhen Yaohua Experimental School, then entering USTC's Special Class for the Gifted Young at 14. He joined Pablo Jarillo-Herrero's lab at MIT at 18 and discovered magic-angle graphene superconductivity at 22, publishing two Nature papers in one day and topping Nature's 10 list. The USTC-to-MIT pipeline and access to MIT's nanofabrication facilities were critical advantages. Family background is not documented.

advantage confidence: Medium · source count: 4 · audit: not_independently_audited · status: subagent_researched_beta

Sources

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