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hnn12

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  1. hnn12

    Fall 2019 Statistics Applicant Thread

    Have you all heard back from Columbia? They tend to release decisions in late February, but it seems like they were still interviewing applicants on the 18th?
  2. hnn12

    Fall 2019 Statistics Applicant Thread

    I think they mean only PhD applications. Given that Penn State is a popular school, I am not surprised that they receive that many applications. I am not sure if Harvard even does waitlisting. Not seemed to happen in the past few years.
  3. hnn12

    Fall 2019 Statistics Applicant Thread

    Did anyone here get offer from Harvard? It seems like they have sent out some offers. But I still have heard nothing. Also, CMU seems to be very late this year.
  4. hnn12

    Fall 2019 Statistics Applicant Thread

    Penn State for me too. Received a phone call from the department. A little bit surprised as it was Sunday evening in Pennsylvania, but so delighted about the offer.
  5. You are the one who really needs to revise your logical reasoning. People are saying that a good score in the GRE subject test MAY OR MAY NOT help you, depending on the admission process behind the scene, which we don't know. Some schools don't put a lot of emphasis in it and the score, therefore, doesn't help even if it's amazing. But others may need it. That's why Stanford explicitly requests it for the PhD program in Statistics. But you are making the bold claim that submitting it WILL NOT help and CAN ONLY hurt the applicant. A good score may not help, but it doesn't mean the adcom will punish you for having it. OK, if I understand you correctly, you are saying that the GRE is a discrimination against certain races and gender, and one should not take part in it because it's morally wrong. Then you can just voice your opinion frankly. Trust me, everyone is aware that it's a bad test and nowhere near an indicator of success. Don't support your own cause by making misleading statements.
  6. Thanks for your replies. Many people have warned me about the more limited chance at Biostats programs, so I have been revising my list of schools. All programs are PhD Statistics. I intend to apply to Harvard, Chicago, Cornell, CMU, Upenn, Michigan, UNC, NCSU, Penn State, Iowa State, Purdue, Wisconsin-Madison, UCLA, Ohio State, UConn Please share your thought on my list. Are there any particular programs that I should apply to, given my background above
  7. I'm an international student who graduated from the UK in 2016. I'm applying for PhD programs in Biostatistics/Statistics, starting Fall 2019. Please leave some comments on my profile, especially the range of schools to which I'm applying. BSc Degrees: Mathematics with specialization in Statistics from a top-10 university worldwide GPA: Top 10/~250 Master Degree: Finance from a top-10 university worldwide GPA: Top 10/~40 Type of student: Asian male Program desired: PhD in Statistics/Biostatistics Research Experience: coauthor of one published paper on an international journal in econometrics. I have also done 2 research projects (~ 3 months each) that were outsourced by private companies. Both were related to Statistics/Data Analysis. During undergraduate studies, I had 1 individual poster project, in which I made a poster on statistical classification using LaTeX and presented to faculty members, 1 group project on Support Vector Machine and Kernel Smoothing, which also involved writing a report and presented our work to professors, and 1 individual project on Pattern Recognition, which heavily involved R programming. Teaching: 2 semesters of TA in Probability & Statistics and Time Series. I will TA another 2 semesters this year LOR: 1 from my professor in the UK, who was my personal tutor. 1 from a professor, who is currently the director of the research institution I'm working at. Both should be strong. I can get the last letter from another professor, but whether it's strong or not is a question mark. Programming: Proficient in R, MATLAB. Competent in C++, Visual Basic. Proficient in LaTeX GRE: Verbal 162, Quantitative 170, Writing 5.0 GRE Subject Math: 820. Not sure if I should retake Coursework: most were A+, some were A and 1 B in Computational Maths. My first 2 years focused on developing a rigorous mathematical background while my final year consisted of graduate level courses, mainly in advanced Statistics. First year: Foundation of Analysis, Mathematical Methods I, Mathematical Methods II, Computational Maths, Mechanics, Probability and Statistics I, Geometry and Linear Algebra, Algebra I, Real Analysis Second year: Probability and Statistics II, Algebra II, Introduction to Numerical Analysis, Analysis I, Complex Analysis, Statistical Modelling, Differential Equations, Multivariate Calculus Third year: Statistical Pattern Recognition, Applied Statistics, Stochastic Simulation, Credit Scoring I, Scientific Computing in C++, Quantitative Finance, Survival Analysis, Games Risk & Decisions Research Interests: I'm interested in high-dimensional statistics and machine learning, with applications to chronic diseases and cancer research in particular Applying to: Biostatistics: Harvard UNC Wisconsin-Madison (biostatistics track) Minnesota - Twin Cities Rochester Statistics: CMU (joint statistics and machine learning) Yale Cornell North Carolina State Michigan - Ann Abor Ohio State Penn State Note: I'm currently working for a research institution, which is part of the national university in my country. I expect some more projects in this academic year, though I'm not sure if these result in publications. It's unlikely that these will come before the application deadlines anyways. The things that concern me most is the questionable 3rd LOR and the lack of published papers (only 1 for me). I've also heard that chances are much slimmer for international students.
  8. I would like to ask for your opinion regarding my application for PhD programs in Biostatistics 2019. All programs seem to require strong background in mathematics, demonstrated by several semesters in Linear Algebra, Advanced Calculus, ideally Real Analysis and Numerical Analysis as well. Some top programs seem to favor students with previous experience in programming languages such as Python, R or MATLAB. However, I am not sure if PhD programs in Biostatistics also require previous exposure to Biology and/or Genetics of any sorts. I graduated with a bachelor and a master degree with heavy mathematical/statistical components from a top UK institution (my bachelor degree was in fact mathematics with specialization in statistics). But I am not sure if the lack of formal training in biology will be a big disadvantage to me when applying for top Biostatistics programs. Apart from PhD programs in Biostatistics, I am also applying to Statistics programs, where there are faculty members with interests in biomedical sciences. Thanks very much for your opinions.
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