[data] Anonymous admission contribution

[YichengYang-Ethan]

Profile

• GPA: 3.9+/4.0
• GRE: 325+ (GRE optional schools did not submit scores)
• University: US T20
• Majors: Applied Math + Stats and DS
• International: yes
• Internships: 2x — 1 US banking DS (got return offer), 1 China DS
• Research: 4x campus (3 NLP, 1 CV), 3 publications (1 first-author, not top venue), 1 submitted
• Recommendations: 3 research advisors (all department director/chair level, strong) + 1 US internship manager
• Season: 26Fall

Prediction Results

• Master of Science in Financial Engineering (New York University): 78% [68%-86%] — safety
• Master of Science in Quantitative and Computational Finance (Georgia Institute of Technology): 67% [32%-90%] — target
• Master of Arts in Mathematics of Finance (Columbia University): 62% [46%-75%] — target
• Master of Science in Mathematics in Finance (New York University): 61% [44%-76%] — target
• Master of Science in Financial Mathematics (University of Chicago): 59% [47%-71%] — target
• Master of Financial Engineering (Cornell University): 58% [40%-74%] — target
• Master of Science in Computational Finance (Carnegie Mellon University): 55% [44%-64%] — target
• Master of Financial Engineering (University of California, Berkeley): 50% [26%-74%] — target
• Master of Science in Financial Engineering (Columbia University): 47% [38%-57%] — target
• Master of Finance (Massachusetts Institute of Technology): 32% [17%-52%] — reach
• Master in Asset Management (Yale University): 32% [13%-59%] — reach
• MS in Financial Economics (Columbia University): 32% [7%-73%] — reach
• Master of Science in Mathematical and Computational Finance (Stanford University): 27% [15%-43%] — reach
• Master in Finance (Princeton University): 22% [8%-48%] — reach
• Master of Financial Engineering (Baruch College, City University of New York): 17% [5%-46%] — reach

Command: quantpath predict --profile profiles/data_contrib_issue_22.yaml (GPBoost v2 — retrained 2026-04-02). 15 programs — 6 reach / 8 target / 1 safety.

Actual Outcomes

Accepted (Offer)

• Master in Finance (Princeton University): accepted (1/3 submitted, 1/29 interview invite, 2/8 一面, 2/16 二面, 3/6 offer)
• Harvard DS: accepted (11/30 submitted, 2/8 offer; not in database)
• MIT BA: accepted (1/4 submitted, 1/31 interview invite, 2/12 interview Michelle, 3/4 offer; not in database)
• CBS MSFE (Columbia Econ): accepted (1/16 submitted, 2/12 面邀, 2/15面, 2/22 offer; not in focused 15)
• Master of Financial Engineering (Cornell University): accepted (11/29 submitted, 3/6 offer)
• UCLA BA: accepted (1/12 submitted, 2/7 面邀, 2/16 interview Berrios, 3/2 offer; not in database)
• Master of Science in Financial Mathematics (University of Chicago): accepted (1/11 submitted, 3/8 offer, 30% tuition scholarship)

Waitlisted

• Yale S&DS PhD: waitlisted (无套瓷无面试; not in database)
• UChicago DS PhD: waitlisted (无套瓷无面试; not in database)

Pending

• Stanford ICME-DS: pending (not in database)
• Penn DS: pending (not in database)
• Master of Science in Computational Finance (Carnegie Mellon University): pending (CMU MSCF R2)

Model accuracy note

⚠️ Severe underestimation for top programs: Princeton predicted 14% (reach) → accepted. UChicago predicted 42% (target) → accepted with 30% tuition scholarship. Key factors model misses:

1. 3 department director/chair-level recommendation letters (extremely rare)
2. 3 publications + 4 research projects = research-heavy profile
3. US banking DS internship with return offer
   This applicant's research depth + rec letter quality far exceeds what the binary flags capture.

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Manually submitted from public 小红书 post (小红书号: 186786146, 美本top20 Applied Math + Stats and DS)