deep_lazy
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deep_lazy last won the day on December 18 2023
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Republic of Korea
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Not Applicable
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School of Medicine
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dammit_bobby97 reacted to a post in a topic: 2024 Biological/Biomedical Sciences PhD Applicants and Admissions Results
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Do you mean their masters? I applied to the PhD and the deadline was 12/15. It took 6 weeks to hear back.
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deep_lazy reacted to a post in a topic: 2024 Biological/Biomedical Sciences PhD Applicants and Admissions Results
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boldinoldi reacted to a post in a topic: 2024 Biological/Biomedical Sciences PhD Applicants and Admissions Results
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deep_lazy reacted to a post in a topic: 2024 Biological/Biomedical Sciences PhD Applicants and Admissions Results
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deep_lazy reacted to a post in a topic: 2024 Biological/Biomedical Sciences PhD Applicants and Admissions Results
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Got notified from Chicago GGSB. I guess all the other schools I applied to are likely to send out interviews after the holiday season. Berkeley might send theirs this week though.
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deep_lazy reacted to a post in a topic: 2024 Biological/Biomedical Sciences PhD Applicants and Admissions Results
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Hi! I applied to a variety of quantitative biology programs this year. Student Type: International (East Asia) Undergrad : Top institution in the country (medical schools are undergrad institutions in my country) Major: Medicine & Mathematics (double major) GPA: 3.06 (overall), 2.64 (medicine), 3.90 (math/stats courses) Test scores: TOEFL (109), did not take GRE Research: 5+ years throughout medical school at the same lab (bioinformatics). 3 publications in computational/statistical methodology in genomics in high-profile journals (IF>10). 1 paper is under review at one of the journals I previously published, and two preprints have been submitted. I'm the first author of all six. Other Experience: Worked at a TV channel during the presidential election as a poll analyst (developed Bayesian poll aggregators). Currently a primary physician at a local community doing regular volunteer activities. Journal reviewer at Nature Communications and International Journal of Epidemiology. Letters of Recommendation: My research advisor (bioinformatician), A professor who coauthored a paper with me (cancer biologist), my math thesis advisor (I also took graduate real analysis from him throughout a year which I got As) Schools I am applying to: USC (Computational Biology and Bioinformatics), Stanford (Biomedical informatics & Genetics), Berkeley (Computational Biology), UW (Biostatistics), UMich (Statistics), Chicago (Genetics, Genomics & SysBio), Chicago (Biophysical Science), Harvard (Biostat), Cornell (CompBio), Columbia (Stat), Columbia (SysBio), CMU (Statistics), UPenn (Genomics and Computational Biology) A poor GPA from medical school is apparently my weakness, but I hope my research records and decent math GPA get me through.
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Hi all, I somehow managed to have several 1st author publications last year. Since then, I've started to receive journal review requests even though I'm just applying to grad schools this year. I accepted two requests till now and one is completely done. Do you recommend to list these experiences in the CV for grad school? To note, both of the two journals are high profile in the field (both IF>12). Thanks.
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I have written a similar post two years ago and repeating the same question after some changes since then. I'm attending a med school at a top institution at S. Korea and double majored mathematics. Note that med school in my country is an undergrad course (as long as i'm correct) as in the U.K. or India. I have a decent grade in mathematics (3.9 in 4.0 scale) with a lot of advanced courses including graduate courses and mostly got A+ in analysis courses (elementary analysis, measure theory, measure theoretic stochastic calculus etc.). One good news is that the research projects that I've been working on aged well and looking forward for publication in decent biostat/bioinfo/genetics journals of IF>8. What I'm worried about is my medicine grades. After two years of attending med school, my grades ended up around 3.0/4.0. This translates to about top 50~70% quantile in the department. One excuse is that the department has a very strict grading policy. I expect very subtle improvements in the following two years since junior/senior years are known to be little bit more generous than basic science courses in the first two years of med school. So in short, I have a very polarized grades in two majors (medicine and math) with the medicine grades that are quite aweful for application to top biostatsitics phd programs. Will the poor grades in med play a significant role in grad school application?
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deep_lazy reacted to a post in a topic: Graduate SDEs and Real analysis
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I used to study in a math department (undergraduate) where most people who were preparing for grad schools were mostly aiming math phds. Most of them who were planning to study analysis have taken graudate real analysis (Rudin RCA or equivalent depending on the professors preference) and measure theory based stochastic calculus (the main goals is to prove the existence of the solution of SDEs). I dont know much about stat people in my school so it's unclear for me whether these advanced analysis courses are frequently taken by people aiming stat or biostat phds. How is it like based on your personal experiences? I would be greatful to listen to your thoughts.
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deep_lazy reacted to a post in a topic: Further improvements for Biostatistics PhD
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deep_lazy started following Differences between genetics programs
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Hi everyone! I'm currently interested in quantitative genetics and want to know about the differences between different programs. After some googling and conversation with my undergrad advisor (he finished his phd in a bioinformatics program), I've learned that there are quite many programs involved in quantitative genetics. Those that I thought were relavent with me were biostatistics (mostly under public health departments), epidemiology (also under sphs), interdisciplinay programs (bioinformatics, genome sciences etc), biological departments, medical departments. What are the major differences between them? May be it's more appropriate to ask the differences between schools than to ask the differences between departments. Whichever is the case, I will be very thankful for a help.
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deep_lazy reacted to a post in a topic: Further improvements for Biostatistics PhD
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Further improvements for Biostatistics PhD
deep_lazy replied to deep_lazy's topic in Mathematics and Statistics
. Thank you for your reply Yes, I have completed my math in one of those institutions, although I have entered my institution as a 2+4 system where premed students are automatically transferred to 4 year med courses after completeing 2 years of basic science courses (It took an additional year for me since I was studying more math), and still attending them. As written in the post, I'm interested in studying statistical/population genetics and currently studying them on a personal basis. I'm curious whether I can prove this experience to the admission committee. By the way, I'm concerned about my medicine GPA since I find it really difficult to get good grades. How are med school GPAs counted? I assume that this is a rare case in US since most MD/PhD students acquire their PhD through integrated MD/PhD program. -
Hello, I'm an medicine undergraduate (med schools in my country are primarily undergraduate institutions like the UK) interested in biostatistics. I have completed a math degree during my premed years and currently preparing for a 1st authored paper in behavioral epidemiology. The math courses I have completed are : Pure math: 1 year calculus I/II , linear algebra I/II(sophomore level), real analysis I/II(=baby rudin), topology I/II, abstract algebra I/II, differential geometry, graduate real analysis (using RCA), graduate stochastic process/SDE, graduate algebraic topology, mathematical statistics (somewhat Hogg equivalent) Applied math (advanced proof based courses in the math department) : some undergrad/grad level algorithm/programming courses (e.g. mathematical algorithms (graduate)) and information theory The overall math GPA is somewhere around 3.8~3.9/4.0 ( I've got some A- and B+ on algebra classes. Analysis related courses are all A) Is there any more possibility of improving my profile in mathematics? For now, I can't take additional math courses anymore since I'm no more a premed. I'm currently self-studying some statgen related topics and planning to start a statgen related research project with a well-known professor in my institution. Anymore advice?
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Hello, I'm an international student studying medicine in a country where med schools are typically undergraudate courses like the UK (2 year premed + 4 year med course). Currently, I'm planning to study biostatistics (especially focus on statistical/population genetics) in grad school but I have little information about it since very few people (almost none) apply to biostat from my department. I double majored mathematics at my premed years: GPA around 3.9/4.0, also took some graduate level math courses (graduate real analysis, mathematical algorithms etc), however, the gpa on med courses aren't as good as my math gpa (somewhere around 3.3~3.5 depending on the remaining semesters). It seems that GPA of 3.3~3.5 isn't really a nice one compared to most applicants applying to biostat. So my two questions are.. 1. Does having an MD helpful when applying to biostat departments? 2. How are GPAs in med schools considered when applying to grad schools?