Documented path
Mirzakhani grew up in Tehran and attended the NODET school for exceptional talents. She and friend Roya Beheshti made the Iranian Mathematical Olympiad team in 1994, where she won gold; she repeated with a perfect 42/42 score in 1995. She then studied at Sharif University of Technology before pursuing a PhD at Harvard under Curtis McMullen.
Born in Tehran, Iran; family background not documented in reviewed sources beyond her attendance at a NODET school for exceptional talents.
Died on July 14, 2017 at age 40 in Stanford, California; was a professor at Stanford University and the first woman to win the Fields Medal (2014).
Where the conditions came from
Each is placed on a −1 to 3 scale from documented evidence, and the three are never added together. A combined total would rank Maryam Mirzakhani against other people. Held apart, they explain why this path ran differently from another one—which is the only comparison this project supports.
The marble itself
+3Tailwind
What capability, drive, or early skill is documented in the person rather than their surroundings?
Won IMO gold medal at 17 (1994, first Iranian woman) and a perfect-score gold at 18 (1995). First Iranian to achieve a perfect IMO score. Later won the Fields Medal (2014). Rare, trajectory-changing mathematical prodigy — one of the greatest mathematicians of her generation.
Where it was dropped
+1Tailwind
What money, family standing, network, or permission was already in place before the work began?
Father Ahmad Mirzakhani was an electrical engineer. Mother Zahra Haghighi. Grew up in Tehran during the Iran-Iraq war (1980-1988), a difficult period. Parents were 'always very supportive and encouraging' and valued meaningful professions over achievement. Older brother sparked her interest in science. Educated, supportive middle-class family.
The shape of the track
+2Tailwind
What place, timing, institution, or peer group made the next step available?
Attended Tehran's Farzanegan School, part of NODET (National Organization for Development of Exceptional Talents) — a pipeline for Iran's brightest students. Lifelong friend Roya Beheshti (now math professor at WashU) was a key peer. Sharif University of Technology for undergrad. Harvard PhD under Curtis McMullen. The NODET pipeline was trajectory-changing.
A −1 is a documented headwind, not a missing value; a 0 means the sources record nothing notable either way. Annotation confidence: High. These are analyst readings of what the sources record, not measurements of merit, talent, or effort. The twenty-two scored dimensions remain available inside the deeper research detail.
What moved through the conditions
Silence in a biography is not evidence that perseverance was absent.
A successful-only archive cannot recover all encounters, avoided setbacks, or alternative outcomes.
Strongest documented signals: Elite institution pipeline, Prodigy / innate ability, Frontier geography.
Describes the starting position, not what the person later made of it.
Strongest observed levers: Started serious reps before 20, Prior reps, Scarce skill depth.
Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
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.
Legendary or globally iconic career standing. The tier summarizes documented career recognition through the data cutoff—not Maryam Mirzakhani's worth or future potential.
Question four · where did the leverage come from?
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.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
A structural wave is external to the person, even when their position improved access to it.
This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Maryam Mirzakhani's outcome attributable to any origin.
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.
Multiplying capacity documented later in the path. Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
Access or conditions documented near the beginning of the path. Zero means "no clear evidence in reviewed sources," not "advantage was absent."
Not documented in reviewed sources beyond her birth in Tehran, Iran.
Not documented in reviewed sources.
Mirzakhani attended Tehran's Farzanegan School (NODET), a pipeline for exceptional talents. She won IMO gold at 17 (1994) and a perfect-score gold at 18 (1995), making her the first Iranian woman to achieve this. She then studied at Sharif University before her Harvard PhD (2004). Her rare mathematical ability was evident early, and the Iranian Olympiad pipeline provided structured opportunity. Family background is not documented in reviewed sources.
advantage confidence: Medium · source count: 3 · audit: source_verified · status: subagent_researched_beta