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sendnoodles

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  1. I'm about to start my junior year and would like to gain some insight into how I can be a more competitive applicant for statistics and biostatistics PhD programs during my final two years of college. I plan on applying for Fall 2022 but am considering taking a gap year to gain more research experience. My profile: Undergrad: Top 150 large state school Major: Mathematics GPA: 3.96 GRE: aiming for 167 for quant and 162 for verbal Type of Student: Domestic Asian Female (US) Math Classes: Calc I (A+), Calc II (A), Calc III (A), Linear Algebra (A), Differential Equations (A), Intro to Proofs (A), Intro to Statistical Computing (A+) Research: 1 year of experience in a biochemistry lab, no publications. Currently cold-emailing professors doing statistics research and hoping to start sometime this upcoming semester. I also plan on applying to stat/biostat REUs for summer 2021. Activities/Jobs: TA for multivariable calculus. Looking for fall and spring internships in data analysis/data science. Tentative Schools UC Berkeley - Stat PhD UCLA - Stat PhD Columbia - Stat PhD Carnegie Mellon - Stat PhD UPenn - Stat PhD Texas A&M - Stat PhD UT Austin - Stat PhD Rice - Stat PhD UCSB - Stat PhD UCI - Stat PhD University of Washington - Biostat PhD Emory - Biostat PhD Harvard - Biostat PhD JHU - Biostat PhD Most of these schools are reaches and very competitive, but these are a general idea of where I'd like to attend. Questions I've switched majors a few times and recently decided on going to grad school, which is part of the reason why I don't have any relevant research experience. Will this hold me back significantly? Would it be better to take a gap year (doing research or working in industry) or apply for masters programs to strengthen my PhD application? I come from an unknown undergrad. How will this affect my chances for a top 20 program? What can I do to strengthen my application? How important is undergraduate publishing for PhD applications? Thank you for reading through! Any advice would be appreciated!
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