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Found 27 results

  1. Hi everyone! I got offers from Columbia''s Department of Systems Biology and the Computational Biology program at Sloan Kettering. I'm having a hard time choosing. My interests are in systems and computational biology, structural biology, and using / applying machine learning. Does anyone here have experience with these two institutions? The fact that Columbia is a full-fledged university with CS and math departments is a draw, but I"m not sure really how important a factor that is. I'm curious what the departments/institutions are like, the quality of research, how they're perceived externally, etc. Thanks for your help!
  2. I’m interested in pursuing research in computational and systems biology (not really sure how much of each, and maybe structural biology would be nice too) and I’m somewhat restricted to staying in the NYC area. Right now I’m primarily considering Sloan Kettering and Columbia. Any thoughts on which one is better and/or more prestigious?
  3. this is for people like me who despise the toxic gradcafe forums and just want to know whether they should begin focusing their attn to programs they still have a shot at instead of being left hanging by programs that don't tell you about rejections/completed offers. No stats, no chancing - private message or start a new thread if you want to do that (:
  4. Hi Folks, I just received my PHD offer from both CMU CPCB program and Cornell Computational Biology program in Ithaca and I really have a tough time deciding which school I should go. My past research majorly focusing on human genetic field and I would like to continue my research within this specific field. Both school have some professor that I would like to work with but it seems like each school have different focus. Really want to hear opinions about pros and cons about coming to these schools. Thanks for the time!!
  5. Got unofficial acceptance today. Join if you are on the same boat 🙂
  6. Hi all, Hope everything is well for all of you! Congrats for those who got their invitations and offers! I'm not sure if there's anyone in looking at this post and is at the same stage as me: got nothing but only rejection letters (5/9). I applied for 9 PhD programs and haven't heard from Harvard, Princeton, Stanford and UCB, but I see in the cafe that many people have got their invitations, and the interview dates are reasonably close. (One of the disadvatages I have is that I'm an international student, thus we are considered separately because of funding issue.) As a result, I need to move on and work on my plan B. With all the advice I've got from friends, grad students and professors, I don't feel ready to make a solid plan by myself. Thus, I'm posting this up, and, hopefully, we can all share some ideas on how to make an alternative plan. So here's something about me (I'm not sure how detailed should I go for, please let me know if it's not appropriate): I'm currently a senior, international student at UMass Amherst. I'm finishing a dual degree in biology and mathematics (applied/stats track). I have a 3.977/4.000 GPA, and received 40k+ scholarships over the years. In addition to my academic live, I also have 3 years of experience tutoring and 2 years of volunteering (BBBS kid mentoring program). I've only taken GRE once, and I have Q168, V151 and 3.5 (I'll definitely make this looks better if I apply next cycle or later). I'm in the honors college and doing a thesis. I have been in a plant genetics lab since the second month of freshman year, where I had various experience with wet lab experiments and bioinformatics/systems biology analysis. I am co-authoring a paper that will be submitted in February which is about analyzing and interpreting an RNAseq dataset. I'm working with this PI for the 4th year and he said that wrote me a very promising letter. In addition to working with plants, I also had research experience during summers working with mammalian telomeres and interned at MRL at Boston on immuno-oncology targets. As for the computational aspect, my work on analyzing data in lab required me to use R, python and bash scripting. I also had intermediate/entry/entry levels of experience with SAS/Matlab/Java from project-based math/stats courses. My original plan is to go straightly for umbrella PhD programs, which covered computational biology or systems biology. I want to use my advantage where I can do both biology and mathematics and to work in interdisciplinary fields. My passion originated from doing experiments, so I still want to keep up with my web lab skills (i.e. doing gene editing according to the results from computational analysis) which I think would also be valuable when I look for jobs later. For long term goal, I would like to work in the R&D parts of the pharmaceutical industry. From the conversations I had with my co-workers during my internship, career-wise, it would be very helpful to have a PhD degree. Also, I don't want to limit myself to plant biology, so I need the transaction to focus on other systems. Also I want to keep all the lab work I deal with in vitro. However, since the plan going for PhD directly didn't work out well, I need to start thinking alternatives. I think my CV would look better in a year or two when the paper is published (there's another one data analysis based that I'm working on as the first author). Also, there's a gap in between the data analysis I do in the bio lab and what I learned from my math/stats courses: I didn't have experience developing computational/statistical tools. I think it may be a solid plan to do something to fill in that gap. The first thing I'm thinking of is getting a master in biostats. Although the deadlines for submitting applications have passed for a lot of good schools, I'm exploring options that are still available (i.e. Brown, UMich, UMinnesota, UCD, UPittsburgh, CWRU and UMass). One question I have is how much a biostat master degree would help if I want to go back to applying biomedical/compuational PhD programs? I do believe a master in biostats will open a lot of doors if I want to look for jobs, also if I want to switch to tracks such as data science. From what I have seen, all biostats programs offer the opportunity to do a thesis, however, if I want to apply to PhDs during the second year of my master, I don't think the thesis will be ready for publishing and I'm not sure how much points that will add to my application. So should I go for a thesis if I end up going to a master program? The good thing is that, if I stay in the same school, I can finish the master with only one additional year. That being said, if I apply for PhD programs in the next application cycle, a thesis would definitely not in time. Yet, all the courses I take will be very coding heavy and project-oriented so would expand my skill-sets on the computational aspects dramatically. I'm not sure how many bio/mcb master programs are still available now. If not going for biostat programs, I hope to get into schools that may help with my applications later. So please let me know if there's any program worth going for a try. I know the last option I have is the MCB MS at my school, which there's no doubt that I'll get into. One of the reasons I didn't think much of this option is that I need to take classes during the PhD programs anyway so I'd rather do something that I can learn more with the same amount of time and effort. Another option is looking for jobs and gets experiences while working. As an international undergrad, I think it's hard for me to look for jobs in the US (although I have the 36 months OPT available), especially jobs that I can learn as much as a master program. It's hard to imagine finding a job that will allow me to do things that I don't know before (I'm still thinking about filling the gap in my experience/skills). With everything going on in the U.S., I was advised that it's not such a bad idea to look for PhD programs in Europe, since I'll be international anyway. However I have no idea how this would work, so please let me know how I should start looking and what I should be expecting if going to graduate programs in Europe. One addtional note is about grad school funding. My parents are funding me for undergrad (although I tried very hard to get as many scholarships as possible), and they can and are willing to fund for my tuition for master and PhD. However, I find it very not helpful when programs as me to bring my own funding while applying for PhD programs. I completed my undergrad in the U.S. so I'm not eligible for a lot of funding from my own country, also I don't want to sign contracts that force me to go back to work for a few years right after graduation (I'm not against going back but I want to keep all options available). And, to my knowledge, there's no scholarship that I can apply to before being admitted to a program (NSF grant requires citizenship). That leaves me no option to bring my own funding while applying, which makes me less competitive among international or all applicants. I appologized that this is getting way longer that I planned for. Thank you if you have read this far. I'm just going to summary some major questions that I need help with: 1. What can I do better if I apply to PhD programs in the future? (Umbrella programs aiming for computation-based track). Are there any not famous but good phd programs that I can still apply for? I know WPI is still rolling and have a lab that may fit my interest according to a professor I talked to. 2. Is it worth it going for a master in biostats? Is a thesis helpful if it won't be ready as a submitted paper? How much help would it give to a future PhD application (systems bio/computational bio)? What specific programs that are still available? Would I be competitive for such programs? 3. Are there any worthy bio-based (i.e. mcb) master programs still open? 4. Guidelines for looking for jobs as an international undergrad. Is it possible that I can learn how to do more complicated computational analysis even if I had little experience with it before? (Although I can learn from colleagues, I imagine companies will want me to do things that I'm already good at.) 5. Where can I find possible fundings for grad school as an international student? The search engines don't really help much before one is admitted to a program. 6. Any other advice or question? 7. Thanks for reading all these! All the best luck for all of you!
  7. 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 University in St. Louis - Human and statistical genetics 2. Johns Hopkins - Human genetics, Biomedical engineering, Pathobiology 3. Boston University - Bioinformatics 4. UNC Chapel Hill - BSSP 5. Tri-institutional program (Cornell, Sloan Kettering, Rockefeller) - Computational Biology 6. Columbia - Biomedical informatics + PIBS umbrella program 7. University of Pennsylvania - GCB 8. Emory - Biostatistics 9. University of Washington - Genome Sciences 10. NYU - Systems and computational biomedicine 11. CMU-Pitt - Computational biology 12. Harvard - BBS
  8. Undergrad Institution: International school (world 28th in CS, 100-200 in life sciences, 49 overall in QS ranking) Major(s): Cell and molecular biology Minor(s): N/A GPA in Major: 3.491 Overall GPA: 3.281 Position in Class: not sure, probably upper-half; graduated with second upper-class honor (HK system, similar to UK's). Graduate Institution: the same school as undergraduate school Major(s): M. Phil (2-year research degree, similar to first 2 year in PhD) in computer science and engineering, thesis project is on bioinformatics Overall GPA: 3.694 Type of Student: International male (quite a number of programs say that they do not have enough funding to cover tuition for international students....) GRE Scores (revised/old version): Q: 157 V: 169 W: 3.5 TOEFL Total: 109 Research Experience: Equivalent 50 months full-time research (some application form require that by converting part-time experience to full-time ones), mostly in bioinformatics (multi-omics & method development) 7 projects listed on CV. 3 in undergrad, two of which are wet-lab, another is multi-omics bioinformatics study. One wet-lab project yield in a 4th authorship in PNAS (direct submission); Been able to do some higher-level experiments in undergrad, for example, confocal microscopy, Y2H and FRET 4 in postgrad: 3 manuscripts in prep, one is the thesis project which should be a 1st-authorship and hopefully on a prestigious journal (but unfortunately, I'm not able to get it published now apparently); another one of the 3 should be a co-first if things work smoothly. The thesis project is luckily a hot open question in the field. Quite a number of my PI-of-interests are working on the same problem using various approaches. A side collaborative-project (which I'm not the major working force) yields another 4th-authorship on a specialized biology journal (if > 20) LORs Got one letter from my thesis advisor, another two from two PI-in-collaboration in my thesis project (h-index 36, 124, 36 respectively). All should be strong as our relationship is quite good generally. My advisor might or might not have connections with faculties I listed as interested, for some of them are in the same ENCODE project. SOP No idea whether I nailed it or not... Awards/Honors/Recognitions: (Within your school or outside?) - Received university entrance scholarship - Another scholarship that covers half of my undergraduate tuition fees Pertinent Activities or Jobs: (Such as tutor, TA, SPS officer etc...) - TA for a 3000-level CS course, >100 students, has lab session and tutorial courses - RA in current research lab. Applying to Where: UCSD: BISB, Princeton QCB, Harvard BIG, MIT CSBi, WashU DBBS-CSB, UW Genome Sciences I contacted 4 profs in UCSD and Princeton, but only get 1 reply from UCSD. The email reads that he is impressed but still I need to pass the committee first. So I guess that may not be too helpful for me to get the interview?
  9. Hello everybody! I am a Biochemistry major and was initially intending to double major in Computer Science, but due to some issues I will be 4 classes short of a Computer Science major to graduate on time, so I will graduate with a Biochemistry major and Computer Science minor. I have done synthetic organic chemistry for one year in my school, then I did biochemistry research (isolating a bacterial compound) during one summer in my school, and another summer I did biomedical research in another school (investigating immune responses to a gut bacteria secretion). I enjoy biomedical research but I don't want to only do wet lab for my graduate education. I don't have experience with bioinformatics or computational biology research (I took a bioinformatics class and that's it) but I am interested in going for a graduate program where I get to do both experimental bio and computational and I am finding it intimidating to find programs that are good and allow for that combination. Here are my stat: My GPA is 3.64 (I am repeating a class that I got a D in so hopefully it will go up to 3.72 by the end of this term). I have great relationship with the three of my research advisors and I think they will write me very good letters I am an international student I would really appreciate some guidance :) Thanks
  10. I will be sending in early applications within the next 20-22 days, for the Fall '18 in-take. The list is as follows: (NOT IN ANY PARTICULAR ORDER) -Carnegie Mellon (MS Computational Biology ) -IU Purdue Uni of Indianapolis (MS Bioinformatics) -UC San Diego (MS Bioinformatics) -John Hopkins (MS Biomedical-informatics) -Virginia Tech (MS Bioinformatics) -Boston University (MS Bioinformatics) -Georgia Tech (MS Bioinformatics) -University of Michigan Ann Arbor (MS Biomedical-informatics) -Northeastern University (MS Bioinformatics) -Indiana University Bloomington (MS Bioinformatics) -Rutgers (MS Computational and Integrative Biology) I would love to hear inputs on these universities.
  11. Not sure if this is the right place to post my question, but if there are any biomath/math/bio people hanging around your help would be very appreciated. I am a second-year undergrad at a large state university trying to plan out a course of study that will prepare me well for graduate school for biomathematics. I am considering doing a double-degree in math and biology. I am also involved in undergraduate research. I'm trying to make sure I take all the classes I need, and also that I graduate in a timely manner. I have heard that five years is ok as long as they don't think you're doing it to reduce your courseload (I'm not, but there's only so many STEM courses you can take in one quarter... ) What are some class recommendations that you have? How few credits is too few?
  12. Profile Evaluation for PhD in Computational Biology for Fall 2018: Student from India GRE (Expecting) : 310-315(165+ quants, 145-150 verbal) TOEFL (Expecting) : 90 - 100 B.Tech Stream & CGPA : Computer Science & Engineering , 8.83 / 10 M.Tech Stream & CGPA : Computer Science & Engineering , 9.1 / 10 (till 2nd sem) Projects in Bioinformatics : 5 ( 1 B.Tech Final Year, 1 M.Tech Thesis(ongoing), 3 Other Bioinformatics Projects) Research Internship : IIT Hyderabad (Biotech Dept. 2 Months) Papers : 3 (under review : 2 in SCI indexed international journals, 1 in IEEE conference), 1(Manuscript Preparation) , 1(M.Tech thesis work is going on, will complete by Feb 2018) Lots of Biology MOOC certified courses from online platforms LOR : 1(associate professor, senior,former hod) , 2(assistant professor) Universities Planning To Apply : 1. University of North Carolina Chapel Hill - Biological and Biomedical Sciences Program (BBSP) 2. University of Buffalo SUNY - Genetics, Genomics and Bioinformatics (JACOBS SCHOOL OF MEDICINE AND BIOMEDICAL SCIENCES) 3. University of Colorado Boulder - Interdisciplinary Quantitative Biology PhD Program 4. University of Iowa - Bioinformatics and Computational Biology (Interdisciplinary Graduate Program in Informatics) 5. University of Maryland, Baltimore County - PhD in Biological Sciences 6. University of Massachusetts Lowell 7. University of Tennessee - Genome Science and Technology 8. Indiana University – Purdue University Indianapolis - Ph.D. in Informatics with a specialization in Bioinformatics Please rate(safe, moderate, ambitious) the universities according to my profile. Thanks, Priyojit
  13. I will be sending in early applications within the next 20-22 days, for the Fall '18 in-take. The list is as follows: (NOT IN ANY PARTICULAR ORDER) -Carnegie Mellon (MS Computational Biology ) -IU Purdue Uni of Indianapolis (MS Bioinformatics) -UC San Diego (MS Bioinformatics) -John Hopkins (MS Biomedical-informatics) -Virginia Tech (MS Bioinformatics) -Boston University (MS Bioinformatics) -Georgia Tech (MS Bioinformatics) -University of Michigan Ann Arbor (MS Biomedical-informatics) -Northeastern University (MS Bioinformatics) -Indiana University Bloomington (MS Bioinformatics) -Rutgers (MS Computational and Integrative Biology) I would love to hear inputs on these universities.
  14. Hey all! Just thought we should start a thread for Comp Bio/Bioinformatics/Biomedical Informatics to track all of the programs and what's going on and stop us from hunting everywhere for news! =). I applied to 12 schools and the only one I have heard back from, so far, is Duke Computational Biology/Bioinformatics - interviews Feb 9-12 or Feb 19-20.
  15. Dear grad cafe, I've posted on the questions forum, but I had no luck there so I'm posting here again. This is my first post on this cafe and wanted to ask how good is university of maryland's computational biology, bioinformatics and genomics program compared to other schools in the US. I have been offered admission for their BISI's program and also got a dean's fellowship with my package, so the offer seems nice. One thing I forgot to mention on the questions forum was that this is the only school that I have been accepted to and wondering about the schools caliber in this area. What do you guys think
  16. Got accepted into UCLA (Bioinformatics Interdepartmental Ph.D. Program) and UNC (Bioinformatics and Computational Biology - BCB). Also to Baylor College of Medicine but will probably chose between the first two. Any opinions/recommendations?
  17. Hi guys, Received two offers from Yale (Computational biology and bioinformatics) and Penn (Genomics and computational biology), I'd like to do research in human genetics and complex diseases using computational/statistical methods. Still hesitated between these two programs, anybody familiar with the GCB program? Based on my knowledge, many professors under this program are doing wet-labs and professors doing interdisciplinary research are usually assistant prof. Could anyone give me any suggestion on the choice between these two programs? Thanks a lot!!!!
  18. Dear grad cafe, This is my first post on this cafe and wanted to ask how good is university of maryland's computational biology, bioinformatics and genomics program compared to other schools in the US. I have been offered admission and also got a dean's fellowship with my package, so the offer seems nice. What do you guys think?
  19. Hi everyone, I am mostly looking at four programs that accepted me in Computational Biology: Berkeley, UCSF, UChicago, Columbia Never studied or interned at any of them before so I am hoping to know more about them outside the website~ I am most likely in academia, but I wonder for Computational Biology in general, which school might be a best fit, and what to avoid. In general as far as I know: Berkeley great for bio and cs. young. in Bay. UCSF top biomed. expensive but in Bay. less known in pan-science than biomed. Columbia young. great science. great city. not sure about biomed in general. UChicago great faculties and focus on edu. not sure about its biology within the country though. Opinions? Thank you!
  20. Hello Everyone, From the results section I can see many results related to Bioinformatics and Computational Biology are rolling in. Assuming they are not fake results posted by trolls, I am eager to hear about your results and interview experiences. If you have applied for PennState Bioinformatics and Genomics PhD programme, I would specially like to hear your experience since there are already several acceptances from that programme on the result board. Great luck for people who have not heard anything from any programme yet!
  21. I am considering the following computational biology/bioinformatics graduate programs: UCSF: Bioinformatics UCLA: Bioinformatics CMU: Joint CMU-Pitt Computational Biology UCSD: Bioinformatics and Systems Biology How would you compare these programs to each other (i.e. how do you rank them)? I appreciate your advice. Thanks so much!
  22. Hi Guys, It’s so inspiring to hear everyone’s stories. Good luck to everyone! I wanted to introduce myself to see if anyone is making a similar journey, or has any opinions. I’m a 25 year old medical doctor from Australia, and just finished my internship 4 months ago. I’m planning to apply to Masters of Science / professional masters programs this year for 2017 mid-year entry. I’m considering bioinformatics / computational biology, or computational neuroscience, or some field in computer science. Since high school, I’ve done a Bachelor of Science degree (3 years, accelerated into 2) majoring in Biomedical Science, and a post-grad Medical Degree (MBBS) (4 years), both from a University in the top 50-100 globally. I’ve finished my internship and received general registration in Australia. The Dream: I’ve decided I want to become a data scientist and work somewhere in biotech / med-tech / genomics / machine learning. I’m inspired by Google's DeepMind, and their work with Atari games and AlphaGo - designing incredibly sophisticated AI algorithms. I think this heralds an era of disruption by AI of many professional industries that depend on thinking skills. I’m also inspired by Craig Venter’s work creating synthetic genomes for viruses and bacteria (the ‘first synthetic life’) and I’m excited about the promise of using synthetic bacteria to process pollution, create cleaner fuels and sequester carbon. I think the two fields - artificial intelligence and synthetic life, will redefine the human condition within our lifetimes. And I think the key nexus of them is data science. I would love to build a career in this area, and work in tech startups in the bay area in San Francisco. The Reality: I currently have no research experience, minimal stats / data science and minimal computer science understanding (and no tertiary study in the area). My Plan: This year I’m working as a doctor about 30 hours per week and: 1) doing a bunch of courses in coding, machine learning, and data science 2) saving money to pay for the masters 3) get some experience in research in biomedical science I’d love to hear any thoughts on the following: Is a Computer Science MS realistic? I’m more interested in AI than biotech. Would I be a realistic candidate for top CS schools, with no tertiary experience in CS? I had strong marks in high school advanced maths and physics, but I’ve spent 7 years studying and working in biology and med. I can do 10-20 hours per week to up-skill in this area (roughly 6-7 months before applications are due and 16 months before the 2017 class would start) How much scope is there for CS electives in bioinformatics? I figured bioinformatics may be a realistic way to sneak into CS courses (like AI and robotics). Converting GPA: My GPA in science is 6.0 and my medical degree, 5.46 (both out of 7). 6 is a distinction average, and 5 is a credit average. I haven’t been able to work out how my GPA converts to the US though. What schools should I aim for in CS and bioinformatics? My list after limited research looks like this: Stanford UC Berkeley MIT Carnegie Melon Caltech Johns Hopkins Cold Spring Harbour Harvard Georgia Tech Oxford Cambridge Princeton Imperial College London UCLA UCSD Then a bunch of others in the top 50-100 Again, best of luck to everyone! If you’d like to discuss anything further, please reply here or PM me!
  23. I am an Applied Math and Bioinformatics double major looking to apply to top-tier PhD programs in Bioinformatics this fall. I was recently offered a data scientist/machine learning role in a large tech company for the summer. I have conducted research in machine learning applications to computational biology for the past two summers, worked in a laboratory for about 2 years, and was recently offered a spot in the Amgen Scholars program at my own university this summer. I want to conduct research in machine learning for biological applications, so this internship is a great opportunity to see the newest innovations in big data research (most of the best research in big data and machine learning is occurring in the tech industry); however, I have heard that many professors do not look favorably on industry internships. Will it hurt my chances of getting into a top-tier PhD program when I apply if I do a pure tech internship (not medically related)?
  24. I'm currently applying for graduate school and have been accepted to biomedical engineering programs and computational biology/bioinformatics programs. Which degree would be better to pursue (has better career prospects). The biomedical engineering programs I have applied to have a division in computational biology. Course work is relatively similar as well.
  25. Hi All, I interviewed at Columbia university last weekend for the Systems Biology PhD under the integrated program- has anyone heard anything from the graduate coordinators, or from the faculty regarding systems biology or the integrated program in general? They said decisions will be made within two weeks, but a few of the current grad students said that some of them had heard sooner in previous years. Thanks and good luck to all!
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