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Agnijo Banerjee
Researchers / independent engineers · Science/Research · milestone at age 18 ·
T4 Specialist-knownMilestone (age 18)
Achieved a perfect score at the 2018 International Mathematical Olympiad at age 18, the UK's first perfect score in 24 years, and co-authored the book 'Weird Maths' published by HarperCollins.
Born in 2000, Agnijo Banerjee grew up in Dundee, Scotland, attending Grove Academy. He showed mathematical talent from primary school. At 18, he achieved a perfect score of 42/42 at the 2018 IMO in Romania, one of only two out of 594 contestants to do so, and the UK's first perfect score in 24 years. He co-authored 'Weird Maths' with science writer David Darling, published by HarperCollins. He planned to study mathematics at Trinity College, Cambridge.
Think your path resembles Agnijo Banerjee's?Compare the visible ingredients, then see exactly where the comparison stops working.
Am I the next Agnijo Banerjee? →Starting point
Born in 2000; grew up in Dundee, Scotland. Father was supportive of his mathematical development. Family recognized his talent from primary school.
Current position (2025)
Studied mathematics at Trinity College, Cambridge; co-author of 'Weird Maths' and 'Weird Maths 2' published by HarperCollins.
How this path compounded
01 Starting advantages
6/24 starting-position score
Strongest documented signals: Prodigy / innate ability, Parent / family domain, Elite institution pipeline.
Describes the starting position, not what the person later made of it.
Cohort percentile: 41
02 Built or converted leverage
12/25 multiplying-capacity score
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.
Cohort percentile: 38
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 18
04 Observed career standing
T4 · Specialist-known
Notable, but primarily known within a niche. The tier summarizes documented career recognition through the data cutoff—not Agnijo Banerjee's worth or future potential.
Question four · where did the leverage come from?
Agnijo Banerjee'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 (1/2)
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 (1/2)
Scarce skill depth2/3
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 (1/2)
Concentration intensity2/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Dedicated mentor / coach (1/2)
Capital safety1/2
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Elite institution pipeline (1/2)
Domain proximity1/2
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 (1/2)
Native distribution1/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Elite institution pipeline (1/2)
Elite ecosystem network1/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Parent / family domain (1/2)Elite institution pipeline (1/2)Frontier geography (1/2)
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 Agnijo Banerjee'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, Agnijo Banerjee's starting-advantage total is at the 41th percentile. Separately, their built or converted leverage total is at the 38th percentile. Other T4 profiles average 5.7 / 24 starting advantage and 10.3 / 25 leverage. Similar scores appear in other tiers, so these figures describe positioning—not a cause.
Trajectory
- 2016 · age 16
Won a silver medal at the International Mathematical Olympiad in Hong Kong.
- 2017 · age 17
Won a gold medal at the International Mathematical Olympiad
Rio de Janeiro.
- 2018 · age 18
Achieved a perfect score of 42/42 at the International Mathematical Olympiad
The UK's first perfect score in 24 years.
- 2018 · age 18
Co-authored 'Weird Maths' with David Darling
Published by HarperCollins.
- 2019 · age 19
Enrolled at Trinity College
Cambridge to study mathematics.
- 2022 · age 22
Completed undergraduate mathematics studies
Cambridge and began graduate research.
Primary leverage engine
Mathematical competition prodigy
Scarce technical / intellectual depth
Secondary engine
Mentorship
Built/converted leverage
12 / 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
Elite ecosystem network
1/3
Structural wave / timing
1/3
Concentration intensity
2/3
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
1/2
Dedicated mentor / coach
1/2
Exceptional peer / cofounder
0/2
Direct domain exposure
0/2
Prodigy / innate ability
2/2
Adversity / constraint catalyst
0/2
Family context
Born in 2000; father Dr. Subhayu Bandyopadhyay is from Broughty Ferry, Dundee. The family recognized his mathematical talent early, with teachers at Woodhill Primary in Bishopbriggs, Glasgow identifying him as gifted in primary one.
Parent / family domain
Father was supportive of his mathematical development and helped connect him with mentor David Darling, a science writer with a PhD in astronomy, for mathematical collaboration. No direct mathematical family background is documented.
Archetype & tags
Mentor-acceleratedIMO-perfect-score-2018Weird-Maths-bookGrove-AcademyTrinity-College-Cambridge
Evidence summary
Agnijo Banerjee showed mathematical talent from early childhood, identified as gifted in primary school. At 18, he achieved a perfect score at the 2018 IMO, one of only two out of 594 contestants worldwide, and the UK's first perfect score in 24 years. His father connected him with David Darling, a science writer with a PhD in astronomy, with whom he co-authored 'Weird Maths' (HarperCollins). He planned to study at Trinity College, Cambridge. His teachers at Grove Academy in Dundee were credited with supporting his development.
advantage confidence: Medium · source count: 4 · audit: not_independently_audited · status: subagent_researched_beta
Sources
Related — same primary engine