[data] Anonymous admission contribution

[YichengYang-Ethan]

Profile

• GPA: 3.95
• University: modeled as UCLA for tier (poster did not name school)
• Majors: Applied Mathematics + Economics; minor Applied Analytics (per post)
• International: yes
• Internships: 3 (US quant / AM / IB-style)

Prediction Results

• Master of Science in Financial Engineering (New York University): 61% [48%-72%] — target
• Master of Science in Quantitative and Computational Finance (Georgia Institute of Technology): 49% [18%-81%] — target
• Master of Science in Mathematics in Finance (New York University): 46% [30%-63%] — target
• Master of Arts in Mathematics of Finance (Columbia University): 45% [30%-60%] — target
• Master of Science in Financial Mathematics (University of Chicago): 40% [29%-53%] — target
• Master of Science in Computational Finance (Carnegie Mellon University): 39% [30%-49%] — reach
• Master of Financial Engineering (Cornell University): 39% [23%-57%] — reach
• Master of Financial Engineering (University of California, Berkeley): 32% [14%-57%] — reach
• Master of Science in Financial Engineering (Columbia University): 30% [22%-39%] — reach
• Master in Asset Management (Yale University): 29% [13%-53%] — reach
• MS in Financial Economics (Columbia University): 26% [7%-64%] — reach
• Master of Finance (Massachusetts Institute of Technology): 20% [10%-37%] — reach
• Master of Science in Mathematical and Computational Finance (Stanford University): 16% [9%-29%] — reach
• Master in Finance (Princeton University): 13% [4%-34%] — reach
• Master of Financial Engineering (Baruch College, City University of New York): 10% [2%-31%] — reach

Command: quantpath predict --profile profiles/data_contrib_22fall_am_econ.yaml (GPBoost v2 — retrained 2026-04-02). 15 programs — 10 reach / 5 target / 0 safety.

Actual Outcomes

Accepted

• Master of Finance (MIT): accepted
• Master in Asset Management (Yale SOM): accepted
• Master of Science in Computational Finance (Carnegie Mellon University): accepted
• Master of Financial Engineering (UC Berkeley): accepted
• Master of Arts in Mathematics of Finance (Columbia University): accepted
• UC Berkeley IEOR FinTech, UCLA MFE, Duke FinTech: accepted (not in focused 15)

Rejected

• Master in Finance (Princeton University): rejected
• Master of Financial Engineering (Cornell ORIE): rejected (post; may differ from cornell-mfe id)
• Columbia MFE: outcome unclear in one note

Model accuracy note

Princeton reject vs ~16% reach is consistent. MIT admit vs ~23% reach — model underpredicts. Cornell ORIE reject vs ~43% target on cornell-mfe — possible program mismatch.

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Data contribution — 22Fall public notes. profiles/data_contrib_22fall_am_econ.yaml.