[data] Anonymous admission contribution

[YichengYang-Ethan]

Profile

• GPA: 3.95
• GRE: V158 + Q170; TOEFL 105
• University: 清北 tier (YAML: Tsinghua University; Peking equivalent)
• Rank: rank 1 in cohort (modeled)
• Internships: Buy-side QR; top domestic; top foreign
• Research / coursework: Double degree (simplified in YAML); strong STEM background per post

Prediction Results

• Master of Science in Financial Engineering (New York University): 77% [67%-85%] — safety
• Master of Science in Quantitative and Computational Finance (Georgia Institute of Technology): 68% [33%-90%] — target
• Master of Science in Mathematics in Finance (New York University): 65% [48%-79%] — target
• Master of Arts in Mathematics of Finance (Columbia University): 64% [48%-77%] — target
• Master of Science in Financial Mathematics (University of Chicago): 60% [47%-71%] — target
• Master of Science in Computational Finance (Carnegie Mellon University): 59% [49%-68%] — target
• Master of Financial Engineering (Cornell University): 59% [41%-74%] — target
• Master of Financial Engineering (University of California, Berkeley): 50% [27%-74%] — target
• Master of Science in Financial Engineering (Columbia University): 49% [39%-59%] — target
• Master in Asset Management (Yale University): 47% [25%-70%] — target
• MS in Financial Economics (Columbia University): 44% [15%-78%] — target
• Master of Finance (Massachusetts Institute of Technology): 36% [21%-55%] — reach
• Master of Science in Mathematical and Computational Finance (Stanford University): 30% [18%-46%] — reach
• Master in Finance (Princeton University): 26% [10%-50%] — reach
• Master of Financial Engineering (Baruch College, City University of New York): 19% [6%-47%] — reach

Command: quantpath predict --profile profiles/data_contrib_mfe_grand_slam_qingbei.yaml (GPBoost v2 — retrained 2026-04-02). 15 programs — 4 reach / 10 target / 1 safety.

Actual Outcomes

Accepted (reported)

• Master in Finance (Princeton University): accepted (scholarship)
• Master of Science in Computational Finance (Carnegie Mellon University): accepted (scholarship)
• Master of Finance (MIT): accepted
• Stanford MS&E: accepted — not stanford-mcf (different degree)

Model accuracy note

Do not compare Stanford MS&E row to stanford-mcf. Marginal P in teens–30% can still coexist with multiple top admits for one applicant.

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Data contribution — 金工大满贯 public post. profiles/data_contrib_mfe_grand_slam_qingbei.yaml.