Admission Chances (Am I cooked? 😭🙏)

[Hz135]

Hey everyone! I’m looking for advice on my chances of getting into a top Statistics/Biostatistics/ Applied Math/OR/CS PhD program. Here’s my background:

 

Profile:

• Education: Junior Math Major at Non target University, graduating May 2026

• GPA: 3.5 (expected)

• Courses Taken:

• Math: Calculus I-III (C-, B, B-) (Couldn’t take final for two of these classes due to family emergency), Linear Algebra (A), Matrix Computation (graduate level) (A), Complex Analysis (A), Proofs in Higher Mathematics (A), Mathematical Probability and Statistics I & II (A-,A) Statistical Inference (graduate level) (A)

• CS: Computational Finance (A), Programming in Python (A).

 

• Research Experience:

• Hidden Markov Models (HMM): Currently working on a paper about jump detection analysis.

• Conformal Prediction: Researching its applications in large language models (LLMs) and AI systems. (Hoping to publish in A or A- AI/ML conference by the time of application).

• Primitive Polynomials: Analyzing maximal runs in polynomials and random numbers, testing properties related to finite fields.

• Pure Math: Studying properties of p-adic integers.

 

 

LORs: Three Professors I’ve been working with. One has a PhD in Math from MIT/Harvard/Yale, other in CS from top EU university, last post doc from Stanford/MIT/Princeton.

 

Do you think I stand a chance at top 20 programs?

Edited January 12 by Hz135

[Hz135]

Thank you for your comment. So I will be taking real analysis, abstract algebra and two other CS classes whilst applying which is next fall (2025) so I probably wouldn’t have the grades for them when I send out the applications? Would that hurt my chances? And yes I meant something like Neurips/ ICML/ ICLR etc. Any A or A- conference. I will publish the HMM paper in a Journal soon too. Lastly yes I am the first author in all of the research projects.