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Vladimir Voevodsky

Researchers / independent engineers · Science/Research · milestone at age 26 ·T1 Global icon
Milestone (age 26)
Completed PhD at Harvard at age 26 with foundational work on motivic homotopy theory, publishing 'Homotopy theory of simplicial sheaves' which established a new framework in algebraic geometry.
Voevodsky studied at Moscow State University before moving to Harvard for his PhD. His thesis work on motivic homotopy theory created an entirely new framework connecting algebraic geometry and homotopy theory. His early publications were foundational, and he was recognized as one of the most original mathematical thinkers of his generation.
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Starting point

Born in 1966 in Moscow, USSR to a physicist father at a nuclear research institute and a chemist mother; grew up in a scientifically immersed Soviet academic household.

Current position (2017 · deceased)

Died in 2017 at age 51; was a permanent professor at the Institute for Advanced Study in Princeton and Fields Medalist (2002).

How this path compounded
01 Starting advantages

7/24 starting-position score

Strongest documented signals: Elite institution pipeline, Parent / family domain, Frontier geography.

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

Cohort percentile: 57
02 Built or converted leverage

15/25 multiplying-capacity score

Strongest observed levers:Scarce skill depth, Concentration intensity, Domain proximity.

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

Cohort percentile: 83
03 Compounding trajectory

7 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 26
04 Observed career standing

T1 · Global icon

Legendary or globally iconic career standing. The tier summarizes documented career recognition through the data cutoff—not Vladimir Voevodsky's worth or future potential.

Question four · where did the leverage come from?

Vladimir Voevodsky'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.

Parent / family domain (1/2)Dedicated mentor / coach (1/2)Elite institution pipeline (2/2)
Scarce skill depth3/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Parent / family domain (1/2)Dedicated mentor / coach (1/2)Elite institution pipeline (2/2)
Concentration intensity3/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Dedicated mentor / coach (1/2)
Domain proximity2/2
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Parent / family domain (1/2)Frontier geography (1/2)Elite institution pipeline (2/2)
Prior reps2/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Parent / family domain (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.

Parent / family domain (1/2)Elite institution pipeline (2/2)Frontier geography (1/2)Exceptional peer / cofounder (1/2)
Complementary team1/2
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Exceptional peer / cofounder (1/2)Elite institution pipeline (2/2)
Structural wave / timing1/3
Externalmedium confidence

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

Frontier geography (1/2)

This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Vladimir Voevodsky'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, Vladimir Voevodsky's starting-advantage total is at the 57th percentile. Separately, their built or converted leverage total is at the 83th percentile. Other T1 profiles average 8.9 / 24 starting advantage and 13.6 / 25 leverage. Similar scores appear in other tiers, so these figures describe positioning—not a cause.
Trajectory
  1. 1989 · age 23
    Studies at Moscow State University
    Studied at Moscow State University, developing early ideas about motivic homotopy theory in the Russian mathematical tradition.
  2. 1992 · age 26
    PhD from Harvard University
    Completed his PhD at Harvard with foundational work on motivic homotopy theory, publishing 'Homotopy theory of simplicial sheaves.'
  3. 1996 · age 30
    Proved the Milnor conjecture
    Proved the Milnor conjecture relating Milnor K-theory to Galois cohomology, a landmark result in algebraic geometry.
  4. 2002 · age 36
    Fields Medal
    Awarded the Fields Medal for his proof of the Milnor conjecture and the development of motivic homotopy theory.
  5. 2003 · age 37
    Joined the Institute for Advanced Study
    Became a permanent professor at the IAS in Princeton, one of the most prestigious positions in mathematics.
  6. 2014 · age 48
    Pioneered univalent foundations
    Developed univalent foundations of mathematics and homotopy type theory, revolutionizing the foundations of mathematics.
  7. 2017 · age 51
    Death
    Died on September 30, 2017, in Princeton, New Jersey, after a distinguished career that transformed algebraic geometry and mathematical foundations.
Primary leverage engine
Revolutionary mathematical originality
Scarce technical / intellectual depth
Secondary engine
Elite institutional pipeline
Built/converted leverage
15 / 25
evidence: Medium
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
3/3
Native distribution
0/3
Elite ecosystem network
2/3
Complementary team
1/2
Structural wave / timing
1/3
Concentration intensity
3/3
Capital safety
0/2
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
1/2
Inherited audience / network
0/2
Elite institution pipeline
2/2
Frontier geography
1/2
Rare early tools
0/2
Dedicated mentor / coach
1/2
Exceptional peer / cofounder
1/2
Early online platform
0/2
Direct domain exposure
0/2
Prodigy / innate ability
1/2
Adversity / constraint catalyst
0/2

Family context

Born in Moscow, USSR. His father was a physicist at the Institute for Nuclear Research, and his mother was a chemist. The family had deep scientific roots.

Parent / family domain

Father was a physicist at a nuclear research institute and mother was a chemist, providing a scientifically immersed household with direct access to the Soviet scientific establishment.

Archetype & tags
Institutional ecosystem accelerationMoscow-State-UniversityHarvard-PhDmotivic-homotopy-theoryphysicist-father
Evidence summary

Vladimir Voevodsky grew up in Moscow with a physicist father and chemist mother, providing a scientifically immersed household within the Soviet research establishment. He studied at Moscow State University before moving to Harvard, where he completed his PhD at 26 with foundational work on motivic homotopy theory. His early publications created an entirely new framework in algebraic geometry, and his originality was recognized immediately, leading to his Fields Medal for proving the Milnor conjecture.

advantage confidence: Medium · source count: 3 · audit: not_independently_audited · status: subagent_researched_beta

Sources
Related — same primary engine