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Found 1,321 results

  1. I am a MPhil in Advanced Computer Science student from Cambridge. I got rejected by most US HCI master programs last year, so I went to Cambridge in the end. Since my MPhil course is an one-year program, I am thinking about my next plan, which is to apply for a Ph.D. degree in US. My research interest is in HCI, especially social computing and affective computing. Because currently I am pursuing a MPhil degree in Cambridge, and it is a research-oriented degree, the most natural choice is to see if the MPhil project suits my interest, and then continue Ph.D. study directly in Cambridge after finishing MPhil. But I am a person who enjoys seeking changes, and I want to experience US research and education. I know applying for a Ph.D. degree in top US CS (HCI concentration) programs can be extremely difficult, so I want to be better prepared. My undergraduate major is Industrial Engineering, and I am a little worried about people will have no idea about this major and its connection with HCI. Therefore, I want to make most of my MPhil study to add something to my academic background. However, since most Ph.D. applications' deadlines are in December, by that time I may not have enough research and course outcomes to present in my CV. Besides, I do not know anybody who switched to pursue Ph.D. degree in US after finishing MPhil course in UK. Whether this is a disadvantage if I study in UK, and do not have enough connections with professors and labs in US? Do you have any advice for me regarding my situation? Currently I am trying to strengthen my application regarding SOP, CV, research experience (but probably no paper for this summer) and also refine my portfolio (is portfolio an advantage in HCI PhD application?) University of Washington is my dream school.
  2. Hey all, As I am transitioning into my Masters program, I am planning to pursue my DSW (instead of a Ph.D) and I am trying to find data as to which schools will be able to provide a more advanced clinical education, and I was hoping y'all might know! I am going to be attending Smith for my MSW, and I am aware they have a Ph.D program, but I would love to see where my options are as well. If you are in the DSW program, how is it so far??? Thaaaaaaanks
  3. Esenabla

    Submitting Transcripts

    Hey all, I have received a copy of my official transcripts from my undergraduate university. I am applying to 10 PhD programs. Could I simply scan a copy of my transcript 10 times and send the schools those or must I send each school an actual transcript in the post? Thanks in advance
  4. Hi all! I could really use some help. I am working towards my BS/MS in Biomedical Engineering, thesis option. I want to pursue my PhD in MSE with a focus on biomaterials, particularly for diagnostics, biomimetics, and drug delivery. GPA: 3.55 (not great) GRE: 161V, 163Q Research: 2 publications (1 first author, 1 2nd), 3 conference presentations, 3 years research at Tier-1 research institution, summer internship at top international uni I will be applying to: University of Minnesota, U of Wisconsin, Boston University, Oregon State, UC Riverside, and maybe Washington State I am hoping to add 1 or 2 safety schools to this list, as I feel I am shooting above where I can realistically get in. I have no problem finding research I am interested in, but I don't know how to tell if I have a decent chance at admission. Also, is there any way to determine likelihood of full funding? I have heard many horror stories lately.
  5. Is is really that much important the reputation of the university? I have been accepted to the MALS Dartmouth, Queen's MA in Political Legal Philosophy, St. Andrews MLitt in Legal and Constitutional Studies and Sherbrooke University for the Master of Laws (LLM). So far, the advices I have received are really to go with the prestigious school - Dartmouth, Queen's St. Andrews and to not keep Sherbrooke University. However, I do believe there is a value in their degree -- LLM. It is normally quite impossible to enter in that degree without a prior law degree so I have to say that despite their lower reputation, I felt it was quite attractive to have this chance to study law at the graduate level. More particularly, if I had the chance to pursue a doctorate in law, I believe this program would be my only chance to pursue legal research or teach law later on.
  6. anxiousarthistorian

    Dealing with the aftermath of deciding

    I am coming off of what feels like a string of amazing luck and yet I can't quite bring myself to feel happy about anything, because it has required a set of incredibly difficult decisions about my future. I applied to six PhD programs split between Canada and the US and I was lucky enough to be accepted to all of them. I visited each school and weighed the pros and cons of funding, POI, cost of living etc. and it ultimately came down to deciding between attending the program where I did my MA and a large, well-respected American ivy league school. I really tried not to let the "prestige factor" impact my decision, but everyone I spoke to still weighted it pretty heavily in terms of post-grad work and also spoke very highly of the program I ultimately selected. At the same time, this program offered full tuition coverage and a guaranteed stipend while the Canadian program offered great funding, but I would have to pay the tuition costs every year out of that stipend. I later found out that I was awarded a doctoral SSHRC that they would have let me keep the whole amount of, meaning that I could have been making equal to what I would make at a an early-career level position at any major museum. But, I didn't find out about the scholarship until after I had to make my decision. Now I'm dealing with the struggle of less financial security, because my chosen school doesn't really allow me to combine their stipend with my external award, and the costs of visas etc. that also would have been covered by some of the other American schools I declined. For reference, the major American competitor was a school of equal calibre, but one that I had heard very negative things about. It seemed to me that people in the program were not happy in general and not a single person I knew recommended that I should attend. But, they offered a larger financial package (in part due to higher cost of living), guaranteed access to campus housing and a better healthcare package than the school I chose. On top of ALL of this, I was blessed to be offered a year long contract position at a major museum as a curatorial assistant for a job I applied to mostly out of duty and did not expect to hear back from. In the end, I decided to turn down the position because I already have considerable museum experience and felt that I really should just get started on my PhD instead of delaying one more year. But now I am left feeling unsure about ALL of my decisions: did I pick the right school? Should I have taken the job and deferred my PhD (but I would have lost the scholarship)? Is it too late to change my mind? How do I come to terms with my incredible good luck and feel good about my decisions instead of feeling gut wrenched by overanalyzing everything?
  7. I am in my second year of Masters and I am contemplating about applying for a PhD program next year. I am not sure about how much stipend I could get since it would vary in each university. But I want to calculate how much I would be able to save (to pay off my study loan). Again, I know it would depend on the number of months I am getting the stipend for and the living expenses according to the location of the university. I am currently in TU Delft and I know what my expenses are and the (possible) stipend I could get as a PhD candidate. I want a general estimate according to the experience of other PhD students in other universities.
  8. Hi everybody! I am currently planning on pursuing a PhD in Mechanical Engineering with a focus on robotics. While researching schools to apply to, I keep coming back to the same question. How strong is my application? I've listed credentials below and will just let you know right away that my biggest weaknesses in my application are my GPA , Letters of Recommendation, and lack of research experience. Major: Mechanical Engineering from UT Austin GPA: 3.31/4.00 GRE: Quan: 168 (94%) Verb: 159 (83%) AW: 5.0 (92%) LOR: Three professors (Either all three from engineering, or two from engineering and one from business). I'd say they will all be lukewarm letters. Research Experience: None Work Experience: Currently 1 year in manufacturing (unrelated to what I want to study my PhD in) Let me know what you all think! I'm currently looking at schools with grad mechanical engineering programs ranked 40-80. Also, should I consider doing a master's to acquire a better GPA and add research experience? Is it worth paying out of pocket? Thanks!
  9. I am new to this forum and not sure how this works. I have been working for 2 years post my Masters degree and I am considering applying for PhD programs this year to start in Fall 2019. I would like to get so advice to set some realistic goals when it comes to selecting my universities. I have copied the template from another post: Undergrad Institution: (D.Y.Patil University (India) not a big league school)Major(s): Biotechnology and BioinformaticsOverall GPA: the scoring scale was not GPA. I have sent it to WES for evaluation.Position in Class: AverageType of Student: International, Male. grad Institution: Georgetown University, Washington DCMajor(s): Biochemistry and molecular Biology.Overall GPA: 3.86Position in Class: top 5% Type of Student: International, Male. GRE Scores (revised/old version): I have not given my GRE yet I am going to give it in the next month. How much will that score matter in terms of aiming for top 10 schools.Research Experience: 6 month thesis dissertation for undergraduate degree followed by 1 year experience post degree working on the same project in India. 6 month thesis dissertation for graduate degree followed by 2 and a half year experience. Publications: 2 (2nd author, in reputed journals of impact factor: 8 and 10)Awards/Honors/Recognitions: undergraduate research project was awarded at a recent conference in India. Honors degree for academic performance at graduate level. Pertinent Activities or Jobs: In all, a research experience of 3 years + (2) 6-month thesis. I have worked on wide range of topics from diabetes, lung cancer, wound healing, breast cancer, neuroinflammation and cancer immunotherapy. Applying to Where: I am mainly attracted to transnational research in cancer Biology/molecular Biology with recently developed fascination for immunotherapy. I am hoping my profile is competitive enough to apply to the top schools but I am not sure. Any advice in much welcomed and appreciated.
  10. I'm planning to apply for a PhD in English (Literature) and I'm wondering about the foreign language component. All of the schools I'd most like to apply to require 1 or usually 2 foreign languages examined by the end of the second year or so. Yale also mentions on its admission requirements that they want 'preparation in languagessufficient to satisfy the language requirement' and Harvard says that 'While there are no specific prerequisites for admission, a strong language background helps to strengthen the application'. None of the others seem to mention languages at all in their admissions sections, only in the details of what's required during the course. Does anyone know how important the language background is relative to other elements of the application? My personal situation: I have a UK A-Level in Latin and a GCSE in German. I've been working on my German online (duolingo etc.) but I have no new qualifications to show evidence of progress. I did an informal assessment at the Goethe Insitut in London, and they reckon I could probably handle a B1 exam, which the internet reckons is about equivalent to a UK AS-level, halfway between GCSE and A-Level, but I don't know if it really counts for as much on an application. If I did take the exam, it might show that my German is ongoing and improving, but I have relatively little time to prepare for the exam, it's alarmingly close to the application deadline, so if my results don't come on time it might count for nothing anyway, and I think it might be a better use of time to work on my writing samples/preparing for GREs etc. Any advice would be very much appreciated. Thanks a lot.
  11. abbyt

    Future PhD on my CV?

    Maybe a little off-topic from this forum, but who knows, maybe this is a common dilemma. I need to send my CV to a professor who's considering me for an RA-ship at the school that I've already been admitted to for my PhD that I'm starting this fall. What's the best way to put "incoming PhD" on my CV? I don't have anything close to an estimated completion date or anything, but presumably I would put the fact that I am actually attending the school on my CV, right? I already have my MA, but if I don't put anything about starting the PhD on my CV there won't be any indication that I'm in the field that I'm going into (the PhD is a pretty big jump from my MA area). Thanks!
  12. loopyunicorn21

    DAAD 2018-2019

    A place for all who have applied for DAAD PhD research grant for 2018-2019. Share your updates
  13. Greetings everyone! I am planning to apply for Biostatistics Ph.D./statistics master programs this fall. I am humbly and sincerely asking for your gracious advice! Below is my background: Institution: Top UC's (Statistics program ranking: 31) Major: Applied statistics (concentrating field: mathematics) I know it is weird... My intention is to learn more math since I switch my major from applied mathematics. GPA: 3.5 Type of Student: International Asian Male GRE General Test: Not taking yet, will do soon Programs Applying: Ph.D. in Biostatistics/Statistics Research Experience: 1 year of RA in biostatistical research experience and currently working on Large-scale biostatistical data mining. Teaching Experience: One-quarter of Learning assistant for calculus Letters of Recommendation: One from my research advisors, two from my statistics professors Relevant Courser Work: (P means Pass, some are optional) Math and Stat Courses: Cal 1-4: All (A's) | Linear Algebra: (B) | Elementary Statistics: (A) | Intro to Abstract Math: (C+) (with 70% of the class below C- range) | Differential equations for: (P) | Real analysis_1: Pass | Real analysis_2: C | Regression analysis: B | Statistical Data Science: B+ (right after I switched to statistics from Applied math major, without any R experience beforehand, worked really hard) | Probability theory: (P) | Time series: (C-) (was taking 5 upper divs at one quarter, trying to allay from my tuition burden, trying to finish in 4 years, therefore admitted sacrifice) | Nonparametric statistics: (C) (medical condition) | Analysis of categorical data: (C+) (medical condition) | Analysis of Variance: (B+) (mental medical condition)| Mathematical statistics: (A-) (medical condition) | Euclidean Geometry: (B+) (still in love with proof writing, want to prove myself) | Applied statistics: (B+) | Advanced statistics undergraduate independent study: (P) | Programming and problem solving: (B) (C language) Computing Skills: R (Proficient, but still learning and exploring), Matlab Applying to: UC Berkeley-biostatistics (master) Stanford - statistics (master) UCR - statistics UCSC - statistics SMU - biostatistics Duke - Biostatistics Columbia - Biostatistics University of Michigan - Biostatistics UIUC - statistics Notre Dame - Statistics University of Minnesota - Biostatistics CMU - statistics in Public policy University of Pittsburg - biostatistics NCSU - statistics Uccon - biostatistics ISU - Statistics USC - Biostatistics UCLA - biostatistics Yale - Biostatistics I am pretty sure that I am not competitive enough since both my math/statistics class rarely curved (Statistics department is known for the epitome GPA deflation ) I am preparing for the worst to come. Please enlight me and guide me through this, thanks! Please be critical for my school selection!
  14. Hey everyone ? I'm an international student who has been accepted in a university in the US (PhD program) with a fellowship for the first year, & then an assistantship. I'm considering also application for a scholarship in an Australian university this July, which has a research center that I'm highly interested in. However, the results of Australian apps only appear in the start of the American academic year, whence I will probably have started my PhD in the American university. I'm asking if it would be possible, or bad to leave that American university (after I started there, with a fellowship) if I get accepted in the Australian program that I prefer? I highly need your advice, please, because I'm very confused. Have anyone passed through a similar experience before?
  15. Abhirup Basu

    TOEFL

    I will be applying for Ph.D. in chemical engineering in FALL'19. I have just received my TOEFL score and my overall score is 110. (R-28, L-30, S-23, W-29). However, in the university website of UIUC and UCLA, although the overall minimum score is 87, the cutoff for speaking section is 24. As you can see my overall score is much greater than the minimum requirement, but my speaking score is one mark less than the requirement. Will it interfere with my application process? Or should I need to retake the TOEFL again? Please let me know regarding the same.
  16. Hey, I just got admit from Vanderbilt Biomedical Engineering PhD. I was interviewed on 13th April and the following day got an admission. "If you are out there... if anyone is out there... I can provide food, I can provide shelter, I can provide security. If there's anybody out there... anybody... please. You are not alone."
  17. Hi all-- I'm currently working on my application for a Biological and Biomedical Sciences PhD program, and was wondering...What are the best resources for getting help writing a Statement of Purpose? I've already written my Statement, but am looking for feedback and ways to make it better. Any suggestions would be helpful. (I looked into paid editing services already, but was told that most schools don't allow this, or discourage applicants from using these services.) Thank you for your help.
  18. Hi everyone, I am looking for some help about my list for Ph.D. programs in statistics. I figured now is as good as ever to post a profile especially because I am starting to work on my personal statement, SOP, and am trying to figure out my life a little more before senior year starts. Any advice is really appreciated as I am pretty different from most of the posters who are on this forum, so I hope my profile will help those who are in a similar boat to me! I apoloigize for the length but my background really isn't the traditional application you would see. Undergrad Institution: Small LAC in PA Major: Mathematics and Finance GPA: 3.45 (overall), 3.3 (Math) Type of Student: Domestic White, also a very well decorated NCAA athlete, if that helps Courses/ Background: Calculus I-III (B+), Linear Algebra (C+) , Mathematical Statistics I&II (B) , Transition to abstract math (proof writing) B+, Combinatorics and Graph Theory (B), Math Analysis (B), Experimental Mathematics (A), Independent study: Statistics; researching rivalries (A), Independent Study: Statistics; predicting voter turnout (A) Next semester I will be in: Math: Abstract Algebra, Linear Algebra (Graduate level to show I can do linear algebra because I was dealing with personal issues that semester), Statistical Models, CS: Multimedia in Python (if relevant) GRE: Retaking! 158 Q / 156 V (I'm a terrible standardized test taker, but hope to hope to be around 160-163 Q) Research Experience: 3 total years of research. One paper in statistics on assessing the prevalence of gerrymandering is in review now (done with my advisor and I), we are currently working on another project related to voter turnout (a paper will come out of it by the fall, again by my advisor and I), Previously a research assistant on researching rivalries in baseball (with a very famous mathematician) ,Have an OEIS sequence pending review now for publishing (I constructed a new sieve to find all prime numbers), Finally, Will be a Researcher in algebra in the Spring Letters of Rec: I will have 4: 1 from my advisor, 2 from professors I have done research with, and 1 from the research coordinator. I would say they will be pretty good. I am very close with my major advisor and he is a very good writer, and knows a lot about me. My statistics research advisor graduated from PSU a few years ago, and we have been doing research for 2+ years, onto 3. My other research letter is from the dept head who I did baseball research with. He is very well known in sabermetrics (baseball statistics), and I hope that will help. Finally, my last letter writer is the REU program head, and I have had him in numerous classes. He was one of the directors of DIMACS at Rutgers and he not only knows a lot of people but is also pretty famous. He worked with some of the most famous graph theorists and knows a lot about the process as he has sat on graduate committees for 20+ years, so I hope he knows what to write! Awards/Honors/Recognitions: Dean's List, Outstanding poster award at JMM18 for statistics (given to 3 kids), Presented research at 7 conferences (including JMM), Have research grants over the last 2 years including 2 summer REU's in number theory. Given my academic record is all over the place (I dealt with crippling migraines which I have every day for 2 years, hence my poor performance) I will be applying to a lot of school. However, the two semesters I haven't dealt with migraines, including the last semester, I received a 3.8 so my grades are on the way up, and the trend can be seen in my math GPA as well! Schools: GW Temple South Carolina UConn NCSU (Because of all my spatial statistics research, I know its a reach) FSU UNC Charlotte (applied math) UNH PSU (research advisor just graduated a few years ago from there) VT Rutgers UMich (family friend runs a bio lab there) UMD (best friends dad has a astrophysics lab there) George Mason UVA OSU UC Riverside UNC UGA UF I know the list is very long but that is because I would be happy going to pretty much all of them, I just need to get into one! Thanks so much for any of your help! Ben
  19. I've looking for MA and PhD courses in the US. I like what the State University of Washington and NYU are offering. What I don't understand is why is it necessary to know a foreign language while doing PhD? What if I choose to research on something that doesn't require knowing any foreign language?
  20. Going into my 3rd year and I've been thinking about graduating a year early (i.e., in 2019). Should I even consider graduating early and applying to PhD programs with the following profile? Undergrad Institution: US Top-5 in Statistics Major: Statistics GPA: 3.95 Major GPA: 4.0 Type of Student: Asian Canadian Male Courses: Real Analysis (A), Probability Theory (A+), Statistics Theory (A+), Linear Algebra 1-2 (A+, A), Data Computing (A+), Discrete Math (A+), Calculus 1-3 (all A+), Data Science (A) Courses for Next Year: Real Analysis II, Stochastic Processes, Abstract Algebra, Machine Learning, Numerical Analysis, Linear Modelling GRE: Q: 169 V: 165 W: 5.5 Program Applying: Statistics PhD Research Experience: 1.5 years in psychology lab helping with database management and surveys (no publications). 1 semester in a independent reading project in pure math. Recommendation Letter: 1 from research advisor, 2 from professors/lecturers I've had. I don't expect any to be particularly strong. Coding Experience: R, Python Programs Considering: Michigan Wisconsin Toronto UCLA UC Irvine UT Austin Michigan State UC Santa Barabara I've done well with the courses I've taken so far, but I've only really completed the bare requirements and I'm not sure if I should even consider applying for 2019. If I were to apply for 2020, I'd have actual grades for the courses I'm planning on taking next year instead of just "In Progress," a second major (math), and likely stronger recommendation letters. Any thoughts, comments, or advice would be much appreciated!
  21. Hi guys, I'll be applying for a 2019 PhD program. I greatly appreciate your time and advice! Below is my profile: Undergrad: Smaller state school in PA Major: Mathematics Minor: Statistics, Actuarial Science GPA: 3.9 (Only 1 B from Abstract Algebra) Type of student: Domestic White Male Program desired: PhD in statistics Research Experience: 1 published paper, 2 large projects in sports analytics. I've presented them at IFORS and SAS Global Forum (Oral presentations, not poster). Both accepted for presentation at INFORMs 2018 annual meeting. 1st was done entirely in SAS, uses SQL and IML and simulates baseball games (Win/Lose accuracy about 70%). Second is about optimizing pitcher rotations with a fully functional front-end. Coded all in Python. Starting another project within a few weeks, probably about sports, using machine learning. Teaching: 1 semester as a TA in a stats class, 4 semesters working in math tutoring center. Other: 1 actuarial internship at large insurance company in actuarial/analytics role, passed first two exams (P and FM) Programming: Strong: Python, SAS, R, SQL, Latex Proficient: C++, VBA GRE: Haven't taken yet Course Work: Calc 1-3, Mathematical Statistics 1-3, Statistical Computing, Statistical Modeling (grad level), Data Mining (grad level), Abstract Algebra, Linear Algebra( this fall), Real Analysis (this fall), Deterministic Models of Operations Research, Stochastic Models of Operations Research Plan on applying to: Ohio State Michigan NC State NC State Chapel Hill Pitt Penn State CMU Stanford Iowa State (maybe) Duke Columbia Rochester Please criticize my schools, or add any you think. I've just started the list and know I need to add quite a few more. Let me know what you think! Thanks again.
  22. Hi everyone, just another potential applicant seeking a little advice. I welcome and appreciate any and all insight, recommendations, criticisms, questions, etc. Undergrad Institution: Large State school Major: Mathematics Minor: Chemistry GPA: 3.28 (Major 3.68) Grad Institution: Large State school Major: Statistics GPA: 4.0 (currently) GRE General Test: (might retake, was falling asleep during parts of test) V: 160 Q: 168 W: 3.5 Programs Applying: PhD in Statistics (maybe Biostat?) Research Experience: Not really any research per se, but a couple of projects: one with a professor of journalism working on media framing of Islam in US, kind of a statistical linguistics project (article was not published with work I did, apparently referee was an Islamophobe, who really knows), and one outside of school with an actuary working on some demographic analysis for his business. Letters of Recommendation: One from undergrad prof who supervised my projects, two from Grad program who are well-acquainted with my work/study habits. Relevant Course Work: Pre-dropout: (rarely attended classes) Calc 1 - 3 (B, A, B+), Linear Algebra I, II (B-, B+), Limits and Infinite Series (B+) Post-dropout: ODEs (B+), PDEs (A), Complex Analysis (A), Intro to Real Analysis (A), Real Analysis I (A-), Statistical Methods (A-), Mathematical Biology (A), Mathematical Statistics (A), Probability (A), Abstract Algebra I, II (A, B), Regression Analysis (A), Time Series Analysis (A), Statistical Computing (A) Grad Courses: Mathematical Statistics I, II (A’s), Theory of Linear Models (A), GIS and Spatial Analysis (A) Future Grad Courses: Real Analysis/Measure Theory, and a handful of other statistics courses Computing Skills: R, C++, ArcGIS, QGIS Teaching Experience: Taught a year of undergraduate mathematics, will teach applied statistics this year Applying to: Minnesota (Advisor attended) Wisconsin Colorado State (Two profs attended) Oregon State UCSC (looks like they do cool research here) UC Davis I know the math grades/GPA don’t look so great, but I was going through some medical/personal issues and feel I made quite a rebound after returning to school. The low LA grades I would hope are made up for in some of the more advanced math classes as well as my graduate coursework (I feel like I really got the chance to learn linear algebra properly when I took the Linear Models course). I decided to try a Master’s to see if I could handle Grad level coursework, and it seemed like it would dovetail nicely into PhD programs if I enjoyed the atmosphere. I am much more comfortable in theoretical statistics (hypothesis testing, confidence intervals, distribution theory), but am also interested in longitudinal data, as well as mixed models, so maybe throwing in a biostatistics program here or there might be wise. It’s hard to say at the moment, but I am just enjoying learning and exploring new material. I haven’t had much exposure to the Bayesian paradigm, but feel I would really enjoy getting to explore it in a spatial/temporal/ecological setting. This year I will participate in a consulting lab, so hopefully this will help more precisely define my research interests. Thanks!
  23. Hi everyone, Has anyone ever started preparing to apply to grad school (PhD more specifically) and then decided to not apply or decided to apply the next year? If so, what was the reason?
  24. International student who lacks math/CS coursework looking at PhD bioinformatics programs. I have too many top tier programs in my list, and am looking for "safe schools" to add. However, given where I'm coming from, are any schools really "safe"? Also, any suggestions as to how I should proceed with my non-math/CS background are welcome. Thanks for the help! Undergrad Institution: International university, fairly average Major(s): Life sciences, biochemistry GPA: 3.5 Masters Institution: Top 5 private school, USA Major(s): Molecular biology GPA: 3.88 Type of Student: International Male GRE Scores: Q: 96% V: 90% W: 98% Research Experience: 2 summers of research during undergrad (~ 6 months total) at institutes equivalent to the NIH. in vitro and ex vivo studies (clinical research) 2 year project during Masters (preclinical drug discovery). 1 publication (average journal, impact factor ~4.5) and 1 more on the way (top tier journal). in vitro and in vivo studies 7 months (to date) after graduating (preclinical drug discovery and clinical research). in vitro, ex vivo, in vivo studies. additional experience in bioinformatics. 1 publication on the way Programming languages: R (intermediate), Python(novice) Any Other Info That Shows Up On Your App and Might Matter: Multiple leadership roles Weaknesses: While I do not have formal coursework in math (linear algebra, calc, real analysis) or computer science, I have taken statistics classes in college. My undergrad institution did not allow for that flexibility and I could not take these classes during my masters. Learned those subjects (linear algebra, calc, r, python) through coursera/edX. Recommendations: 1-2 extremely personalized recommendations, third should be average Essay: Working on how to tie my background to my interests Areas of interest: Bioinformatics/genomics/computational biology (Ideally biostat, but thats out of reach given my non math background in my opinion) PhD programs: 1. Washington Univ., St. Louis - Human and statistical genetics 2. Johns Hopkins - Human genetics, Biomedical engineering, Pathobiology 3. Boston Univ. - Bioinformatics 4. UNC Chapel Hill - BSSP 5. Tri-institutional program (Cornell, Sloan Kettering, Rockefeller) - Computational Biology 6. Columbia - Biomedical informatics + PIBS umbrella program 7. Univ. of Pennsylvania - GCB 8. Emory - Biostatistics 9. U Washington - Genome Sciences 10. NYU - Systems and computational biomedicine 11. CMU-Pitt - Computational biology 12. Harvard - BBS
  25. jjj02027

    PhD applicants: Fall 2018

    Hi, Thought I'd start this topic for 2018 fall applicants specifically for Public Health. I realise there is a general one for all applicants, but thought it might be useful to have one for just a Public Health field (in the most broad sense). I apologise if this post is redundant. I just wanted comments on whether my choice of universities were too strong. Although these were the only programmes which matched my interests. Feel free to comment/share your experience so far. Undergrad Institution: Imperial College London, UK (Top for science in UK)Major(s): Biomedical SciencesMinor(s): n/aGPA in Major: no GPA system in UK (Upper 2nd class)Overall GPA: n/aPosition in Class: Type of Student: International female Postgrad: MSc in Public Health (GPA 3.88) at London School of Hygiene and Tropical MedicineGRE Scores (revised/old version):Q: 160 (76%)V: 167 (98%)W: 4.5 (82%)B:TOEFL Total: n/aResearch Experience: 2 years in health services researchAwards/Honors/Recognitions:Pertinent Activities or Jobs: some teaching assistanceAny Miscellaneous Accomplishments that Might Help:Special Bonus Points:Any Other Info That Shows Up On Your App and Might Matter:Applying to Where:Harvard, John Hopkins, UNC, UCLA, UCSF, Northwestern, Brown, Ohio State, Iowa, Standford
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