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user201023

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  1. Downvote
    user201023 reacted to inadequate in Stanford biosciences, Berkeley mcb, UCSF tetrad   
    Really? Hiring managers would see them as equivalent? And you know this from experience in industry?
    Sorry, I realize it sounds like I'm doubting you, but I need to be sure.
  2. Upvote
    user201023 reacted to Bioenchilada in UCSF vs. Princeton (polar opposites)   
    The budget has not been approved and will probably face a lot of congressional backlash. A lot of presidential budgets are flat out rejected and just make the news for shock value. Also, a school of the caliber of UCSF will probably not be significantly affected. I would be more concerned if the OP were going to a school that's not a research powerhouse and depended on NIH funding, if the budget is actually approved. 
  3. Upvote
    user201023 reacted to BigThomason51 in 2017 Applicant Profiles and Admissions Results   
    Happy to say I just accepted an offer of admission from one of my top choices and a top 20 school in my field.  For all of those with low-GPAs, there is hope! Find a masters that will accept you... do extremely well and the door will open for Ph.D programs! 
    EDIT:  Also, thank you to this community for the great advice and support along the way! 
  4. Downvote
    user201023 reacted to AGradStudentHasNoName in 2017 Computational Biology/Biomedical Informatics PhD Applicants and Admission Results   
    see my signature lol.
    My list is embarrassingly top heavy. But I have an MD (cs undergrad, currently working in algorithms R&D) and already have a job at a well respected biotech "startup" (we were, now 130 ppl) in the same position/same title as many people with phd's from places like stanford cs, mit csbi, etc. So If I dont get in to any of them, then I stay in a good position or move to some other good industry position...
  5. Downvote
    user201023 reacted to PhD_RPs in Laying Down the truth, sorry, not sorry   
    Does it bother anyone else that schools like to start out the career path options presentations without mentioning going for a career in academia?
    Why the heck would you go to grad school for your PhD if that is not your goal. I'm sick and tired of that shit, you don't need a PhD for consulting, you don't need a PhD to become a science writer, you don't need a PhD for an industry job..
    Schools are letting in too many people, at every interview I've been to, I've met tons of smart people, alternatively, I've also met people that make me think "Why are you here?". I hear stuff like: "I'll be picking a mentor and doing rotations with people whose personalities mesh with mine" are you kidding me? -- I'll be doing rotations with people who are going to challenge me and push me to the edge - I'll be going with my gut feelings on who I choose to work with and it will purely be based off of their science. 
    There are TOO many PhD's awarded, have you seen the statistics on PhDs on welfare (not just Biology PhDs to be fair but all in the USA) something like 30 percent on welfare. 50 years ago there were about 600,000 Bio researchers, now there are 6-7 million, it's not sustainable.
    Schools need to clean up their acts, Masters degrees need to be funded not paid for by students - that can solve two problems: replicability as MS degrees can be focused on reproducing data and not novel data generation; it can also give an avenue for all the people who want to do what I would call "soft" stuff with their degrees. PhDs should only be given and encouraged for those who have raw talent and can become peers with professors not every person who applies.
    If science does not keep you awake a night and doesn't wake you up in the morning... good luck.
    When I'm a PI one day, I will not even let a student who does not want to become a SCIENTIST anywhere near my lab, not even for a rotation. Some of the people on this website and IRL just make me cringe, somebody needs to scientifically slap them with the truth.
    What are your thoughts? Are you getting your PhD without the intent of at least trying to become a PI or Lecturer? Why? 
  6. Upvote
    user201023 reacted to Infinito in UCSF vs. Princeton (polar opposites)   
    I've been mostly holding off on commenting until I saw my pal @Bioenchilada post, so I figured I'd chime in as well.
    Pretty much everything that Bioenchilada said was on point. Having gone to an Ivy League for undergrad myself, and knowing that prestige of school and overall funding =/= grad school experience or funding, I only applied to like 1 Ivy only for their program during my application round.
    That being said, I'm now at UCSF and had some misconceptions before I even got here, so let me address some parts in the section I quoted above.
    1. UCSF is TWO campuses - Parnassus and Mission Bay. There is literally a Biophysics program, there's TETRAD for more pure sciences research, not to mention powerhouses like QB3, etc. There isn't necessarily an engineering department besides the joint program with Berkeley, but I'm actually rotating in a bioengineering lab next quarter. So many innovations come out from UCSF because engineering research is being conducted here (with applications to medicine, obviously, but that are generalizable). 
    2. On the money issue:
    You're not going to graduate school to get rich while you're there. Whether it be NYC or SF, the cost of living in these desirable places is pretty much the price of admission to be in the theme park. I did originally have qualms about this, as I even calculated that at some other schools I might be able to save up about $20K across 5 years or mortgage a house, but is that the point of graduate school? Also, if I'm going to be somewhat destitute, I'd rather do it in graduate school, not when I'm doing a post doc (note, loads of post docs love being here, and they get paid even less than graduate students due to the UC-wide post doc union). As someone from a low income background, with no family to support me, it's not as bad as you think. Once you get over the mental barrier, you realize that even here people can live fine on our salary. I won't say it's necessarily comfortable or thriving, but it's enough to survive. You forgot 4 other important things that UCSF does to offset the cost. a. You get two years in heavily subsidized student housing. b. You get a $4K relocation-allowance which you can use for anything before coming to UCSF (helps to offset costs of moving). c. Some programs provide you with a laptop and other goodies for matriculating (some have additional housing funds). d. There is a cost-of-living allowance given to people that live off campus, and even then you can find off-campus housing for under $1000/mo. It might mean not having a single studio, but that's just the way it is. Final point: anywhere you go, fellowships do not supplement your income directly. Some programs might give you extra money, but this is incredibly rare as your stipend is set by NIH/NSF standards, so usually programs that advertise these bonuses do so because their stipend is on the lower end of the spectrum.  Now, I'm going to flip around some of your pros form Princeton.
    3. Quality over Quantity. I'm not sure why you would put that as a pro, as if somehow UCSF's overwhelming amount of faculty is indicative of lower quality? You do realize that UCSF is the number one recipient of NIH funds, right? No school anywhere hires people without their own sources of income, and a scientist's ability to maintain funding is pretty much a straight correlation with the quality of their work or its impact. Obviously UCSF is a purely medical/science university so there will absolutely be an overwhelming amount of faculty to choose from, but that is not a sign of lower quality.
    4. Tons of money and funding. Princeton may have a huge endowment, but you'll almost never see any of that money, especially since those endowments tend to be trapped in undergraduate services or things that don't spill over into your science. You may get better career services, free food, and other things, but graduate programs tend to be maintained through training grants, tuition remissions, and funding overhead. At any top program, you're going to see programs tell you that you're covered by the program for X number of years, and then your PI guarantees the rest of your funding; of course, in the case of something catastrophic, like your PI losing funding or leaving, top programs have mechanisms to still support you. So look out for that information from places you're interested in. 
    Finally, I'm going to address this since it's so insidious.
    Get.Over.School.Prestige.To.Non.Science.People.
    I don't know why people feel like they need to somehow boost their egos by thinking that people not in the sciences need to recognize their school - as if that was a metric for anything. If I had listened to my family, I would have gone to Yale or MIT since they didn't know about UCSF; luckily, I know better and have no need to be used by family and friends as some talking point to other people they're trying to impress. I went where I thought I had the best fit with the program and my interviewing cohort, in addition to the science being conducted there and where I would be living for the next 5-6 years. Additionally, UCSF has huge recognition on the West coast in all circles. I also see that you turned down Harvard and MIT interviews; so really, if non-scientific reputation means anything to you, you should have taken those interviews, since while it seems that UCSF doesn't hold a candle to the prestige you desire, Princeton realistically pales in comparison to those other two as well, and even more in the sciences.
  7. Upvote
    user201023 reacted to LoveMysterious in 2017 Applicant Profiles and Admissions Results   
    INTERVIEW AT UIC GEMS!! I am in shock!! For those wondering if you can overcome a 2.6uGPA, apparently you can!!! 
  8. Downvote
    user201023 reacted to Epigenetics in Update on Harvard BBS Acceptance Rate   
    I can tell you fundamentally none of what you're saying is true. Yes they're trying to fill ~65 spots, because the program is large, but that is the post-acceptance matriculation number. They expect a large number of people not to attend, so if they anticipate a matriculation rate of 50% (from what I've heard that's about what they expect) then they have to accept 130 people to get that. I know for a fact their post-interview admission rate is 90-95%. Source: I work in a BBS lab.
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