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  1. Undergrad Institution: California Public University (Top Cal State) Major(s): Economics - Quantitative Analysis Minor(s): Statistics GPA: 3.958 Type of Student: Domestic Asian Female GRE General Test: (Have not taken yet) Programs Applying: Biostatistics/ Statistics PhD or Master’s Programs Research Interests: I am interested in Biostatistics research, possibly clinical research Research Experience: Do not have any professional research experience but will be completing a senior project which is a research project. I also was on a chem research team my freshman year, involved with the analysis part. Awards/Honors/Recognitions: Dean’s List, Top Biochemistry student freshman year Pertinent Activities or Jobs: Intern at KPMG as Risk Advisory Intern, Intern at Government Accountability Office, Intern at a startup. President of an academic club on campus. Letters of Recommendation: Manager at GAO, Stats and Econ Professor Related Coursework: Calc I-III (A), Linear Algebra (A-), Stats I-II (A), Statistical Computing in R (A), Programming for Econ (A), Applied Multivariate Statistics (A), Econometrics and Advanced Econometrics (A) , Marketing Analytics and Business Intelligence (A), Have also taken Bio/Chem classes (pertinent to Biostats?), Intermediate Microeconomics I-II (A) Future Coursework: Intro to Stats and Probability(calc based), Probability for Economic Decision making, Some more stats classes Applying: UC Denver Biostats, UC Davis (MS, PhD) for Stats and Biostats, U of Michigan (Bridge, PhD), UIUC (MS), UCSB (Masters and PhD), Rice (PhD) Notes: I switched from Biochem to Econ my freshman year. Concerns: Don’t have much research experience, but I have significant work experience as well as leadership roles Have not taken Real Analysis, probably will not be able to this year I want to know where I stand with my background. I know I haven’t taken the most math classes, but for a good amount of schools I pass the prerequisites. Funding is something that is important to me. I also want to know what other programs I should be looking at. I really appreciate any help. Thank you!
  2. Hello everyone, I am planning to apply for PhD programs in Statistics and/or Biostatistics. I am seeking advice about the programs I should target. I would like advice based on my background below. Thank you a lot for your time! A quick summary about me - I have undergraduate degree in environmental science and master’s degree in applied stat. I graduated in 2019 and have one-year work experience. I attach my questions at the end. Type of Student: International, Asian Undergraduate Institution: Asian, top-50 by US news ranking Majors: Environmental Science GPA: 3.46/4.0 by WES (84/100) Courses taken (score by WES): CS Intro to Computation (A) Data Structure and Algorithm (B) Math 2 calculus courses (A and B) Linear Algebra (A) Probability Theory and Statistics (A) Stat Applied Statistics (B) Graduate Institution: Master’s degree, top-20 by US news ranking in stats major Majors: Applied Statistics (courses only, no thesis), dual degree in environmental science GPA: 3.6/4.0 Stat 400-level Intro to Theoretical Stat (B+) Applied Probability (B) Stat 500-level Stat Learning I (A-) Stat Learning II (A-) Stat Inference (A) Stat Consulting (A-) Probability Distribution Theory (A-) Stat Inference (A) Stat 600-level Linear Models (B+) Survival Time Analysis (A) Stat Computing (A-) GRE General Test: Q: 170 (96%); V: 152 (56%), W: 3.5 (41%) Research Experience Second author of a paper that is under peer review now. I did plenty of map visualization on the topic of air pollution. No modern stats method applied. (*big name prof. in biostatistics, not sure how the rec would be) One presentation at the School Symposium about a minor project, using spatial statistics method to answer an environmental question. Undergraduate thesis is about applying non-linear optimization method in a environmental problem. (*prof. in environmental science, good but not strong rec) Graduate capstone is much like consulting about clean energy, no related to stat. (*prof. in environmental science, might be strong rec) Research assistant for a social scientist for half year. I mainly cleaned data in R and SAS, and did some simple tests. (*prof. in social science, strong rec) Working Experience One-year work experience in a software company. Daily work includes programming in Python, R, Git; researching for spatial-temporal statistical methods, such as time series forecast, spatial outlier detection. (*supervisor) Letters of Recommendation I listed the potential recommenders with asterisk* in the Research/Work Experience above. I can reach out to prof. who taught stat courses but that would be weak rec I guess. Currently considering schools Planning to focus on 20-50 tiers schools in the U.S., such as UCLA, UC Irvine, UC Davis, OSU, Boston U, UUC. In addition, I am planning to apply for British Columbia and McGill in Canada. My questions Here is my main question - I like statistics, and based on by background in environmental science, I think biostatistics would provide a good balance between theory and application for me. Yet with little research experience in biostats, I find it hard to compare the programs. What should look for when I scan through the programs? Any advice about how to filter programs would be appreciated! I have another concern about the targets – I am worried my low GPA and weak background in math would become a constraint. Is there anything I should be aware about? For example, does programs usually filter applicants' GPA first? In addition, I would love to hear about who you think would make the best combo of recommenders. The fact that most of my rec would not come from prof. in stat concerns me as well. Thank you in advance for your input!
  3. Hi, Seeking advice/opinions on applications for Stat PhD courses in the US. I will be applying to start in Fall 2022. My profile: Nationality: Indian (undergrad in UK, IB Diploma in Singapore) Grade Scale: 1st - A+, 2:1 - A, 2:2 - B Undergraduate - BSc Economics (London School of Economics) with 2:1 Math/Stat Courses - Mathematical Methods(1st), Elementary Stat Theory(1st), Abstract Math( high 2:1), Operations Research(high 2:1), Econometrics(2:2) Postgraduate(Not sure if this is considered postgraduate) - Graduate Certificate in Theoretical Probability and Statistics from Open University (will complete in July 2021) - Im doing this as i have not taken stat courses to at least an intermediate level. Im hoping that this would also help with preparing GRE Math subject test. I have not yet taken GRE and I intend to take the GRE Math Subject test. LOR(have not got yet but expected): Average. Did not build good rapport with professors at undergrad but will do for the grad certificate. Relevant Work Experience: Worked in Credit Risk Advisory in the year since graduating and credit risk internship during the first summer of undergrad Other Relevant Experience - Econometrics Student Lecturer, Quantitative Economics research project I would like to apply for Statistics PhD programs at Washington, UChicago, UMich, U Wisconsin Madison, JHU, Rutgers, UPenn, CMU, BU, Georgia Tech etc I am also open to doing a Biostat PhD ( i do not intend on doing my PhD research in financial statistics) I know i do not have an undergrad math/stat major, but im attempting to improve that situation through the grad cert in theoretical probability and statistics. How do i stand amongst the competition? Would i stand a better chance completing an MA or MS then applying to a PhD program? I have until Dec 2021 to add education/work experience/ qualifications. How can i improve my profile ? Appreciate your advice and thanks for your time!🙂🙏
  4. Hello world, Hope everyone remains healthy. I applied for the 2020 Fall PhD and received the following offer: 1. York University, Toronto, Canada Funding: 43k$ per year Length: 3.5 - 4 year PhD in Mathematics and Statistics Deadline to response: April 10 2020 2. Florida State University, USA Funding: Self-fund first year and pending situation for the rest years (Basically, no) Length: 5 year PhD in Biostatistics Deadline to response: April 15 2020 My long-term goal is industry. Teaching is my second option. Before I applied to the phd program I have already obtained my MS degree in Statistics and am currently working as a Biostatistician in Los Angeles. I appreciate your advice! Or please share your experience with me. Thank you and wish everyone a successful and joyful 2020!
  5. Hi everyone, I just received the PhD offer from CMU stats department, and I am so happy with that. However, now I am facing a difficult decision between choosing to stay at University of Toronto for my PhD (where I did my undergrad) or go to CMU for a new adventure. My current research interest is more about: 1. Applied Bayesian inferential methods. 2. Statistical Computations. 3. Machine learning and Data Science. And my future plan is to find a faculty position in statistics. The pros for UofT: 1. I am an international student, so staying at uoft makes it more possible for me to get the PR card in Canada, while the PR card in US is a bit impossible... 2. I did my undergraduate study at here, so I know the faculties at this university very well. And I have been matched with my preferred supervisors whom I have already worked with and felt good working with, while CMU currently did not match me with any supervisor yet. 3. There will be five years of full funding package which includes full-tuition plus 20k stipend per year for UofT, while CMU's offer only describe my full funding package for one year (full tuition + 3.1k stipend per month), and based on their student handbook it seems like the funding from CMU usually only lasts for four years... The pros for CMU: 1. Higher ranking in Statistics, especially in Machine learning and Data Science. 2. Based on the suggestions from my professors, if I want to continue my career in academia, it seems like it would be better for me to not go to the same place for both undergraduate and PhD... But I am not sure how important that factor is 3. Probably the winter at Petersburg will be more approachable than in Toronto... Could anyone give me some suggestion on how to make this choice? Any suggestions is appreciated! Thanks so much!
  6. Hello. I'm currently applying for PhD programs for Statistics/Industrial Engineering for Fall 2020. My main goal is to work as a faculty member, my main interests would be in stochastic process, econometrics, nonparametric method. undergraduate: Top15 or 20 in my country, International Major: Applied Mathematics GPA: 84.8/100 (Major: 86/100, top10%) Coursework: Mathematics Analysis, Linear Algebra, Real Analysis, Complex Variables Functions, Abstract Algebra, Probability Theory, Topology, Mathematic Statistics, Multivariate Statistics, Number Theory, ODE, Mathematic modeling, Time Series, Linear Models, etc. Awards/Honors: University Excellent Graduate, University Merit Student for each year, University Scholarship. Some mathematic modeling competitions and mathematic contest (I think not very important, just can embellish my CV). graduate: Top60 in usnews rank, International Major: Quantitative Fin GPA: 3.6/4.0 Coursework: Stochastic Finance, Applied Stochastic Process, Derivative Pricing, Machine Learning, Advanced Econometrics, Real Analysis, Investment, etc. Awards/Honors: A scholarship(4%), Academic Excellent Award. Exchange: In Switzerland, a university with very good reputation in Management and Finance. Demographic: Asian Female Research Experience: Master's thesis(in progress) about parameter estimation. Research assistant working on deep learning approximation for stochastic control problems. A project related to option pricing that implemented SABR model and Heston model respectively. A project about stochastic dynamic programming tutorial and a replication of a paper on EER(but results not very ideal, so I didn't mention this on my resume). TA experience for about two years, includes one PhD level course "Statistics". Letters of Recommendation: President of my undergraduate university(professor, talk about my academic performance), my current thesis advisor (professor, expert in time series), a professor from Yale (I was his teaching assistant in a program). GRE scores: V - 158(80%), Q - 168(93), AWA - 3.5(39%). Sub-Math 860/87%. Applying to(all PhD): UCLA(Stat) UCD(Stat) UCSD(Stat) UCSB(Applied Stat) UIUC(Stat) PSU(IE) UMinnesota(ISE) Boston Uni(Stat) Rice(Stat) UFL(Stat) Based on my profile, do I have a good chance at the programs listed above? I'm really nervous that I could get any offers. Since I know I've got very obvious shortcomings. A lot of Applicants have very high undergraduate GPA but I don't, and I don't have any published papers. Any advice and suggestions would be highly appreciated
  7. I am very interested in pursuing biostatistics PhD for this coming year (2020). I realize I have a low gpa score but have a strong research record/work experience to compensate. I would really appreciate honest feedback about my chances for graduate school this coming year given that I can get very strong LORs. Undergrad Institution: Top 10 LAC Major: Computer Science and Statistics GPA: 3.56 Student: Domestic POC, female Courses: Intro to Stat Modeling (A-), Intro Computer Science I (B+), Multivariable Calculus (A-), Intermediate Statistics (A-), Intro Computer Science II (B+), Linear Algebra (B-), Probability (B), Spatial Statistics (B+), Data Structures and Algorithms I (A-), Databases (A-), Theoretical Statistics (B+), Computer Systems (B+), Networks & Cryptography (A+), Data Structures and Algorithms II (B), Advanced Data Analysis (B+), Machine Learning (A-), Mobile Computing (B+). GRE: 161Q, 161 V, 4.5 Writing Research/Work Experience: Currently work as a Data Analyst at Columbia University Medical Center (a year), with having previously worked at IBM Watson Health as a Data Scientist (a year and a half). I have two research publications and have been working on multiple manuscripts and abstracts for conferences. I also participated in the Biostatistics Program for Underrepresented Students at Columbia University two summers in college. Applying to: QBS PhD Program at Dartmouth Ohio State University Drexel University George Washington University Rutgers Boston University UMASS University of Pittsburg UNC Chapel Hill Virginia Commonwealth University University of Maryland Vanderbilt University Emory University Brown University University of Pennsylvania
  8. Hey everyone, I will be applying to Statistics PhD programs for fall of 2020. I am mostly interested in probability theory and general statistical theory. Any advice is greatly appreciated! Undergraduate: Small public university. Relatively small math department. Major: Mathematics GPA: 4.0 Type of Student: White Male Relevant Courses: Calculus I, II, and III, Ordinary Differential Equations, Linear Algebra, Abstract Algebra, Modern Algebra, Discrete Mathematics, Advanced Calculus I (Real analysis), Numerical Analysis I, Financial Mathematics, Life Contingencies, Intro to Statistical Methods, Applied Reg/Time Series, Nonparametric statistics, Statistical Process Control, Mathematical Statistics I and II, Foundations of Computer Science, Fundamentals of Programming, Object Oriented Programming, Intro to Algorithms and Data Structures (A's in all courses) GRE General Test: Q: 168 V: 160 W: (waiting on score) Research Experience: Statistical consultant on a medical paper currently in peer review, not expected to be officially published before application. Additionally, I worked with a professor in mathematical research. I was primarily in charge of the computer programming to simulate our enumeration problem; research stopped due to professors family crisis. Awards/Honors/Recognitions: Valedictorian of the College of Science, Outstanding Math Student Award, Dean's list each semester. Letters of Recommendation: Professor (Department Chair) I worked with closely as a TA and took courses from, Professor I took classes from, Assistant Professor I took classes from. Additional Experience: Experience working in R, SQL, Python, C++, C#, and LaTex. I have taken three actuary exams and pass all three. I have a year's experience working as an actuary. A few internships during the summers of my undergraduate career in Cyber and Actuarial Science. I have ample experience in math and statistics TAing and tutoring. Applying to: Texas A&M, Colorado State University, University of Iowa, UC Davis, Virginia Tech, (Other schools suggested?) Comments/Questions: I'm curious to know if I'm aiming for the right caliber of schools. I am concerned about not having published, how will this effect my application?
  9. Hi, I know I have a very weak academic profile, but I was wondering if I'd have any chance to get into a Stat PhD program, say top 30-40 ish. I'm currently majoring in Mathematics and Statistics at UChicago. To give you a little explanation about my low GPA, I was not thinking about academia and was mainly looking for a job in Finance until 2nd quarter of my junior year. The job I was seeking for doesn't really care about what kind of courses I take, so I took a lot of junk classes in order to compensate for my low math grades. UChicago by itself is a pretty harsh grader (GPA 3.25/4.00 makes deans list), and our math program is known to be pretty hard (have to take 1 full year of real analysis and 2/3 year of abstract algebra), but I wonder if PhD program admission's office care about this at all... I recently got interested in Statistics, so I decided to double major in it. Luckily, there are a lot of overlaps, so it's very feasible for me. I think the rigor of the classes that I took and am planning on taking are not bad, but I wonder if I'll be able to overcome my low grades. I'm willing to work a couple more years as a research assistant after I graduate if that'll make a significant difference. So to summarize, I just want to know if I have any shot to get into top 30-40 stat PhD program. If so, I still have one more year left, so I'll try my best to get grades and work as a research assistant. Thanks a lot in advance! Undergrad Institution: University of Chicago Major: Math and Statistics GPA: 3.65+ (overall), 3.3+ (Math) Type of Student: Asian international student Courses/ Background: Math: Honors Calculus 1 (B+), Calculus 3 (A), Intro to Analysis & Linear Algebra (A-), Multivariable Calculus (A), Real Analysis I (B), Real Analysis II (B+), Real Analysis III (took twice, pass/failed the first one, and got A- second time), Abstract Algebra 1 (B+), Abstract Algebra 2 (A) Stat: Elementary Statistics (A), Statistical Theory/Method-1 (B), Analysis of Categorical Data (B+), Mathematical Probability (Accelerated) (A) Others: Computer Science with Applications 1 (Pass), Computer Science with Applications 2 (B+), Computer Science with Applications 3 (A) Planning on taking: Math: Complex Analysis, Ordinary Differential Equations Stat: Nonparametric Inference, Machine Learning, Time Dependent Data GRE: Haven't taken it. (1600/1600 SAT) Research Experience: 3 months of research assistant at Booth School of Business at UChicago, helped with data mangement (wrote STATA algorithms) Awards/Honors/Recognitions: Dean's List
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