ultrafiltering
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ultrafiltering reacted to a post in a topic: Fall 2020 Statistics Applicant Thread
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Fall 2020 Statistics Applicant Thread
ultrafiltering replied to ENE1's topic in Mathematics and Statistics
I've heard that international students may be interviewed (not in person) to check for English skills. But I'm not sure about that. -
Fall 2020 Statistics Applicant Thread
ultrafiltering replied to ENE1's topic in Mathematics and Statistics
Oh I forgot about JHU biostatistics. I meant UConn, JHU, and PennState stats. Thanks! -
ultrafiltering reacted to a post in a topic: Fall 2020 Statistics Applicant Thread
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Fall 2020 Statistics Applicant Thread
ultrafiltering replied to ENE1's topic in Mathematics and Statistics
Has anyone heard anything from UConn, JHU, or PennState? -
ultrafiltering reacted to a post in a topic: Fall 2020 Statistics Applicant Thread
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ultrafiltering reacted to a post in a topic: Fall 2020 Statistics Applicant Thread
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Fall 2020 Statistics Applicant Thread
ultrafiltering replied to ENE1's topic in Mathematics and Statistics
Are there waves of interviews usually or do they only drop them on one day? Meaning that if we didn't get interview invites on 12/20 (today) from Columbia, we can consider it a rejection? -
ultrafiltering reacted to a post in a topic: Fall 2020 Biostatistics PhD Profile Evaluation
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Fall 2020 Biostatistics PhD Profile Evaluation
ultrafiltering replied to ultrafiltering's topic in Mathematics and Statistics
@cyberwulf Thank you for clarifying. My math grades were indeed lower in tougher mathematics courses over all, however I would also say they are spotty (A's in certain tougher courses, non-A's in other ones, and really the big red flag would be the C+ in the Honors Abstract Algebra imo, however I am hoping that the amount of analysis with measure theory outweighs that.). If I were on a committee, that would leave me feeling neither amazed nor *too* concerned given the A's in majority of mathematics courses and the measure theory. But, at the end of the day, I am biased and I don't know anything about what a committee is thinking. There are of course many, many applicants who have better grades in harder courses, so you do bring up a good point that there must be a compelling reason for them to pick someone with lower grades over other applicants who likely have better grades. And the only compelling reason that I can see is glowing letters, which I can only hope for. I feel they will be strong letters, but I can't read them myself, so one can only guess at that point.- 6 replies
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ultrafiltering reacted to a post in a topic: Fall 2020 Biostatistics PhD Profile Evaluation
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Fall 2020 Biostatistics PhD Profile Evaluation
ultrafiltering replied to ultrafiltering's topic in Mathematics and Statistics
@cyberwulf Thanks for taking the time to comment. I am wondering what you feel is a red flag in my profile that will prevent me from the schools (save for BU) that I've listed. What do you think are weak points and strong points in this profile?- 6 replies
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ultrafiltering reacted to a post in a topic: Fall 2020 Biostatistics PhD Profile Evaluation
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Hello everyone, I am a senior who will be applying to PhD programs in biostatistics. I have posted here before about statistics, but my list of schools was very different and after looking into biostatistics programs at the suggestion of a couple people here, I found that they actually do research which I find very interesting. Undergraduate Institution: Top 20 among public universities; big, well-known state school; top 20 mathematics department. Majors: Pure mathematics Minor: Computer Science GPA: 3.73/4.0 Major GPA: 3.83/4.0 Type of Student: Domestic Asian Male Courses taken: Math: Calc 3 (A) Intro Linear Algebra (A) Honors Intro to Proofs (B) Mathematical Probability (A) Ordinary Differential Equations (A) Intro Complex Analysis (A) Elementary PDE (B+) Honors Linear Algebra (A) Honors Intro Real Analysis I (A) Honors Abstract Algebra I (C+) Intro Real Analysis II (B+) Mathematical Statistics (A) Graduate Ordinary Differential Equations (A) CS: Intro to CS (A) Data Structures (B) Computer Architecture & Design (B) Algorithms (A) Currently taking: Graduate Real Analysis I (measure theory) (Going very well so far), Graduate Regression Analysis, Topology. Will take in Spring: Graduate Time Series, Independent Study (Geometric Measure Theory), Finite Automata, Graduate Systems Biology. GRE General Test: 164V (94%)/164Q (84%)/4.5 (81%). Concern: Weak Q score. GRE Subject Math: Not taking. Research Experience: 1 semester of exploratory research on the mathematics of cancer dynamics with professor I had for diffeq (ended after a semester since professor left uni, but we had a great connection and many great discussions). 1 mathematical biology REU; will likely result in eventual publication in a biology journal, however this isn't set in stone yet. Will be giving a talk at 2020 Joint Math Meetings on this research. From 2019-2020, working as research assistant with an engineering professor on quantum computing applications to environmental modeling/optimization problems. Working Experience: 3 semesters tutoring Calculus I, II, Intro Linear Algebra, Mathematical Probability (simultaneously). (Will continue this through graduation) 3 semesters grading for Mathematical Probability, Advanced Linear Algebra, Mathematical Statistics (one course for each of the 3 semesters). Letters of Recommendation: One from the exploratory research on cancer dynamics (also was differential equations prof), one from REU advisor, one from measure theory professor who taught me mathematical statistics as well, one from Honors Intro Real Analysis I professor, and one from an instructor who has known me closely for a couple of years. All letters should be strong Applied to the following for PhD in Biostatistics: Harvard JHU Yale Brown Columbia BU UPenn I'd like honest opinions on what you believe are my chances at these schools. My concerns are about the inconsistent grades and low GRE. Thank you so much for taking the time to read! Looking forward to your thoughts.
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@bayessays I posted to get honest opinions, and that's exactly what you gave. I appreciate it!
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@bayessays I deleted my question because I was writing something which applied to Iowa State, not UIowa. I got the two confused for a moment there. But I do see your point. So in summary, you believe I have a decent, non-reach, chance at UCDavis-Rutgers, but they are not considered safe choices? Also, what schools other than UIowa would you consider safe-ish choices in the top 50? Does UIUC fit that bill?
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@bayessays Thanks for taking the time to comment. I have a question though. You're saying that PSU-Rutgers should be the upper end. Is there a reason I may not break top 40 even? Especially given that Rutgers is ranked 40 along with UIowa, and OSU is ranked 37th, similar enough, but you're saying it would be a reach.
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Hello everyone, I am a rising senior who will be applying to PhD programs in statistics with interest in stochastic processes, time series, high-dimensional statistics, and uncertainty quantification. Not really interested in biostats even though I have a couple of experiences with biomath research. Undergraduate Institution: Top 20 among public universities; big, well-known state school. Majors: Pure mathematics Minor: Computer Science GPA: 3.73/4.0 Major GPA: 3.83/4.0 Type of Student: Domestic Asian Male Courses taken: Math: Calc 3 (A) Intro Linear Algebra (A) Intro to Proofs (B) Mathematical Probability (A) Ordinary Differential Equations (A) Intro Complex Analysis (A) Elementary PDE (B+) Linear Algebra (A) Intro Real Analysis I (A) Abstract Algebra I (C+) Intro Real Analysis II (B+) Mathematical Statistics (A) Graduate Ordinary Differential Equations (A) CS: Intro to CS (A) Data Structures (B) Computer Architecture & Design (B) Algorithm Design & Analysis (A) Courses will take this fall: Graduate Real Analysis I (measure theory), Graduate Regression Analysis, Topology. GRE General Test: 164V/164Q/Writing unknown. GRE Subject Math: Not taking. Research Experience: 1 semester of exploratory research on the mathematics of cancer dynamics with professor I had for diffeq (ended after a semester since professor left uni, but we had a great connection and many great discussions). 1 mathematical biology REU; will likely result in eventual publication in a biology journal, however this isn't set in stone yet. Will be giving a talk at 2020 JMM on this research. From 2019-2020, working as research assistant with an engineering professor on quantum computing applications to environmental modeling/optimization problems. Could result in publication but would be in the spring, not while applying to schools. Working Experience: 3 semesters tutoring Calculus I, II, Intro Linear Algebra, Mathematical Probability (simultaneously). (Will continue this through graduation) 3 semesters grading for Mathematical Probability, Advanced Linear Algebra, Mathematical Statistics (one course for each of the 3 semesters). Letters of Recommendation: One from the exploratory research on cancer dynamics, one from REU advisor, one from either measure theory professor who I've had before for mathematical statistics or engineering professor I'm researching with (will decide soon). Currently considering schools only for PhD in order of ranking according to US News: UMich UPenn UWisconsin-Madison Columbia UNC PennState UCDavis JHU UCLA OSU Rutgers NYU Stern I don't want to apply to more than 10-12 schools. Please let me know what I can cross off right away and what I should consider adding to my list. It may seem like a very ambitious list given my coursework and GRE Q, but that's why I'm posting here; I don't know any better. Thank you for taking the time to read, and I'm looking forward to your input!
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