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algorithmic_

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  1. My Michigan offer is a direct admit for PhD, so I am not concerned about the conditional master's admits. However, I am a little bit concerned at Michigan due to the fact that I come from a weaker stats background and more of a math/bio undergraduate degree, and I've heard the PhD can start tough, since most people in my case end up in the fast-track program.
  2. Hello, everybody! I've recently heard back from many PhD programs for biostatistics, and I've narrowed it down to three programs that I've found interest in: UCLA - PhD - 34k/year stipend from a fellowship UMich - PhD - 24k/year stipend as an RA UC Berkeley - MA/PhD - 17k/year stipend as a graduate student instructor I will be visiting both UCLA and UMichigan within this month to see the programs on a more personal level, but I was wondering from prior experience which program may be best. I know Michigan is the most favorable option for genetics/genomics type research, but I do not have much interest in that particular category and am leaning more towards clinical trial, or biotechnology-type areas. In my initial application, Berkeley would have been my top choice school since I have always wanted to go to the west coast. However, it seems like the stipend will in no way be enough to offset high cost of living in Berkeley - we are thinking possibly because I will be an MA student for the first 1-2 years? I appreciate any input or advice you have to give me!
  3. Hi, guys! Thanks for your responses so far. I'm feeling much more at ease than I have for this entire application cycle. I do have a couple of main concerns, in that I haven't taken many upper-level statistics courses (our school doesn't offer them), and I also don't have much of a CS backing. Are these large holes in my application, or is my current approach with pure math and biochemistry solid enough? I am a U.S. citizen by the way, so I am feeling more confident for at least my safeties, and I suppose I'll just have to see how variable my results come out to be!
  4. Hi everybody, I'm currently a senior pursuing biostatistics PhD programs. Now, I'm in a unique situation. I am currently only sixteen years old, and will be by the time I graduate - 17 by Fall 2020. I am part of a program at a university that has allowed me to skip high school (no diploma) and obtain my bachelor's degree right away. I currently don't know whether I should be playing this to my advantage, or if it will be detrimental in my application. Undergraduate Institution: Unranked small private institution Majors: Mathematics, Biochemistry (double B.S.) GPA: 3.97/4.0 (cumulative) Type of Student: Asian female Programs Applying: Biostatistics PhD Relevant Courses: Math: Linear Algebra (3 credits) (A) Calculus I/II (A,A) Multivariable Calculus I/II (A,A-) Numerical Analysis (A-) Discrete Mathematics (A) Ordinary Differential Equations (A) Real Analysis (A) Statistics (A) Physics I/II (A, A) Biochemistry (relevant?): General Chemistry I/II (A, A) General Biology I (A) Organic Chemistry I/II (A, A-) Biochemistry I/II (A, A) Analytical Chemistry (A) Cell Biology (A) Microbiology (A) Genetics (A) GRE General: 170Q/168V/5.5W Research Experience: Biochemistry senior thesis in immunology/biochemistry, presented at ASBMB conference and won award at school's Capstone Mathematics senior thesis in CT scanning - radiology, implementing Python for numerical computations, current work in progress Work Experience: Tutor for mathematics for one semester TA for multivariable calculus I, Genetics, one semester each Intern at Truway Bio in Suzhou, China for pharmaceutical-related research Volunteer EMT in local community for 1 year Letters of Recommendation: One from advisor for biochemistry thesis One from head of math department, took half of my math classes with him, including real analysis One from biology professor with whom I've taken many classes with and have a close relationship with My recommendation letters should be quite strong, I come from a very small university where letters are often the strongest part of an application. Schools I'm Applying to: JHU Stanford UCLA UWashington Yale Harvard UPenn MSU Vanderbilt Columbia UC Davis UMichigan Ohio State Duke UC Berkeley UIllinois-Chicago My main problems with my application at the moment are the fact that I don't have much of a computer science background, but I am trying to bridge that the best I can by implementing Python into my current thesis. In addition, I come from a very small unranked institution, so I don't know how much of a benefit my GPA provides to my application. Will my age be a good or a detrimental factor within my application? Finally, I've picked a list of schools with many high-ranked Ivies or competitive schools, with three main safeties (OSU, MSU, UIC). It is really difficult for me to judge the competitiveness of my application at the current moment, so I'm not sure if my safety schools are even "safe" for me. I am trying to make my statement of purpose as great as possible. Thanks for any advice.
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