[data] Anonymous admission contribution

[YichengYang-Ethan]

Profile

• GPA: 3.88
• GRE: 330 total (Verbal 162, Quant 168)
• University: University of Washington — Applied Math (Data Science) + Economics
• International: yes (US institution experience)
• Internships: (1) Program management — US startup; (2) BA — domestic China internet; (3) Remote — US firm, quant/ML
• Projects: On-campus deep learning; quant PTA; Kaggle NLP (no strong placement)
• Note: Applicant also applied to many DS/BA/OR programs; table below is focused MFE Tier0+1 only.

Prediction Results

• Master of Science in Financial Engineering (New York University): 57% [45%-69%] — target
• Master of Science in Quantitative and Computational Finance (Georgia Institute of Technology): 44% [15%-78%] — target
• Master of Science in Mathematics in Finance (New York University): 39% [24%-57%] — reach
• Master of Arts in Mathematics of Finance (Columbia University): 38% [24%-55%] — reach
• Master of Science in Financial Mathematics (University of Chicago): 36% [25%-48%] — reach
• Master of Financial Engineering (Cornell University): 34% [19%-52%] — reach
• Master of Science in Computational Finance (Carnegie Mellon University): 31% [23%-41%] — reach
• Master of Financial Engineering (University of California, Berkeley): 28% [11%-54%] — reach
• Master of Science in Financial Engineering (Columbia University): 25% [18%-34%] — reach
• MS in Financial Economics (Columbia University): 18% [3%-58%] — reach
• Master of Finance (Massachusetts Institute of Technology): 16% [7%-31%] — reach
• Master of Science in Mathematical and Computational Finance (Stanford University): 12% [5%-23%] — reach
• Master in Asset Management (Yale University): 10% [2%-34%] — reach
• Master in Finance (Princeton University): 10% [3%-29%] — reach
• Master of Financial Engineering (Baruch College, City University of New York): 8% [2%-28%] — reach

Command: quantpath predict --profile profiles/data_contrib_uw_amath_ds.yaml (GPBoost v2 — retrained 2026-04-02). 15 programs — 13 reach / 2 target / 0 safety.

Actual Outcomes

Accepted (reported)

• Master of Science in Financial Engineering (NYU Tandon): accepted
• Master of Arts in Mathematics of Finance (Columbia University): accepted (waitlist then admit)
• Other admits include UPenn MSE DS, UCLA BA, Columbia BA, Cornell Tech ORIE, UChicago ADS, CMU BISM BIDA, etc. (not all map to focused program ids above)

Rejected (reported)

• Master of Finance (MIT): rejected (no interview)
• Harvard DS, Stanford MSE, Northwestern MLDS, Brown DS, UPenn SE: rejected (various degrees)

Model accuracy note

NYU Tandon and Columbia MAFN align with target-tier predictions. MIT reject vs ~20% reach. Many programs on the applicant’s list are not the same ids as the 15-row table (e.g. CMU BIDA vs CMU MSCF).

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Data contribution — public notes (May 2024). Reproduction: profiles/data_contrib_uw_amath_ds.yaml.