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Dan Spielman

Researchers / independent engineers · Software/Tech · milestone at age 25 ·T2 Field-leading
Milestone (age 25)
Completed PhD in mathematics at MIT at age 25 in 1995, winning the ACM Doctoral Dissertation Award.
Born in Philadelphia, Spielman earned his BA from Yale in 1992 summa cum laude, then completed his PhD at MIT in 1995 at age 25 under Michael Sipser.
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Starting point

Born in Philadelphia; family background not documented.

Current position (2025)

Sterling Professor of Computer Science and Mathematics at Yale University.

How this path compounded
01 Starting advantages

7/24 starting-position score

Strongest documented signals: Elite institution pipeline, Frontier geography, Dedicated mentor / coach.

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, Domain proximity, Started serious reps before 20.

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

Cohort percentile: 83
03 Compounding trajectory

6 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 25
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 Dan Spielman's worth or future potential.

Question four · where did the leverage come from?

Dan Spielman'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.

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.

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 (1/2)Elite institution pipeline (2/2)
Prior reps2/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

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 (1/2)Exceptional peer / cofounder (1/2)
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.

Exceptional peer / cofounder (1/2)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)
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 Dan Spielman'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, Dan Spielman's starting-advantage total is at the 57th 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
  1. 1992 · age 22
    BA from Yale
    Completed BA from Yale summa cum laude.
  2. 1995 · age 25
    PhD from MIT
    Completed PhD at MIT, winning ACM Doctoral Dissertation Award.
  3. 2002 · age 32
    MIT faculty
    Joined MIT as Assistant Professor.
  4. 2008 · age 38
    Godel Prize
    Co-winner of the Godel Prize for smoothed analysis.
  5. 2010 · age 40
    Joined Yale
    Joined Yale as Professor.
  6. 2017 · age 47
    Sterling Professor
    Named Sterling Professor at Yale.
Primary leverage engine
Technical depth
Scarce technical / intellectual depth
Secondary engine
Elite institution
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
3/3
Native distribution
0/3
Elite ecosystem network
2/3
Complementary team
1/2
Structural wave / timing
1/3
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
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
1/2
Prodigy / innate ability
1/2
Adversity / constraint catalyst
0/2

Family context

Family background not documented in reviewed sources.

Parent / family domain

Not documented in reviewed sources.

Archetype & tags
Institutional ecosystem accelerationyale-summa-cum-laudemit-phd-age-25acm-thesis-awardgodel-prize
Evidence summary

Spielman graduated from Yale summa cum laude in 1992 and completed his PhD at MIT at age 25 in 1995, winning the ACM Doctoral Dissertation Award.

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

Sources
Related — same primary engine