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  2. Do Ph.D Programs accept MCAT scores

    Just saw that Wake Forest has a bunch of masters programs that will accept the MCAT instead of the GRE. Check it out below: http://graduate.wfu.edu/admissions-required-tests/ Also went ahead and edited Eli's post.
  3. Hello everyone, it's been a while since we've posted any new announcements with regard to the site! 2017 was an exciting year for YDSOA! We moved away from our old blog format and shifted into the current community setting. Additionally, we have seen heavy increases in traffic the site has received, and our search engine rankings. Although our community forums haven't been as active as we'd like, we were fortunate enough to gain over 100 new members since our launch, to bring the total amount of members of YDSOA up to 186! We also had a lot of great discussions going on as well! We have many goals for the new year that we hope can take YDSOA to the next level and improve the user experience. They include the following: We're going to be condensing the amount of forum categories we have, especially the ones that saw the least amount of activity. Currently, our most active social media account is Facebook, and we will continue to use it as our main social account. We will soon phase out our Twitter and Instagram accounts. My personal Twitter account will be used to post updates about our site, and about topics regarding Data Science and Informatics. We will be updating our blog structure and adding more content. This will also include editing older posts that may have outdated information. We will be discontinuing our Graduate School Database and putting more of an emphasis on general graduate school discussions. We will be releasing our new site feature called YDSOA Jobs sometime in mid March. We are looking to implement a brand new site design and homepage. That's the gist of things that are in store. We thank everybody who joined YDSOA in 2017 and look forward to all the new members and great discussions in store!
  4. Answer the latest Data Science Poll!
  5. Cons: Some schools look negatively at people who quit graduate programs, like Basil said. Having to go through the entire application process again. Pros: It's better to realize that a PhD program is not for you early, then be miserable for the next 4-6 years. There's a lot of information on the internet about how quitting a graduate program is a kiss of death in terms of your application. And this might be true for the top PhD programs, but I also know people who have quit one program and still got accepted at another. It really depends on the applicant and the circumstance I think.
  6. I know of two people in my current Ph.D. Program who attended another program for a year, realized it wasn't a good fit, and decided to leave. Both of them were still able to receive multiple admissions from other universities and are now very happy with their current situation. Obviously, the biggest con is you're potentially going to have to sit out some time from school while you apply elsewhere. However, some programs admit students in the Fall and Spring, which means less time away.
  7. Hi, I was wondering if anyone has ever considered changing schools after a year of their PhD has passed in the current school? Is it possible to change schools at this time? What are the pros and cons of applying to new graduate schools? Thanks!
  8. Those are some excellent points! That was one of the hardest things for me as well, trying to figure out what subjects I should prioritize first. Should it be computer programming/science, biological sciences or mathematics? The lab I ended up joining for my masters focused on computer science, so I spent most of my time there. Now at the Ph.D. level, a lot of the labs focus on tool development rather than implementation, and it's made me go back to try to become an even better programmer. It definitely is a never-ending cycle of reevaluating where you are at, and what you need to do to make it to the next step. However, this challenge is also what has made Bioinformatics so rewarding!
  9. I feel one of the most challenging issues is how each of us defines Bioinformatics/Computational Biology. It's such a broad term and our specific area of interest may not match with that of our PIs. And related to this is, what prerequisites to match, even when just expanding knowledge-base. I was trained to look for and use existing tools to help with my analysis. Right now, I need to learn programming to run codes for my analysis. Then comes the choice of programming language. While the concepts hold for all languages, it's usually best to master one over the others (or maybe all). But hey, that's what keeps us going, I guess -The cycle of learning and applying.. I'm still at the very start of my career, I am sure my response will change few years down the line. Looking to hear from others who have crosses this stage already.
  10. I posted this article over on my personal site (https://basilkh.com). It's an article describing how you can use social media to help you in your professional field! Check it out and let me know what you guys think: https://basilkh.com/use-social-media-stay-ahead-field/
  11. My issue has been finding willing labs for Bioinformatics Doctoral programs. PIs who are not only willingly accepting students, but who have projects that are both interesting and are making breakthroughs in the world of Bioinformatics.
  12. Bioinformatics vs Data Science

    I would also say that Data Science has become heavily enriched in Artificial Intelligence, more so than I have seen in Bioinformatics or Computational Biology.
  13. I'm in the midst of finishing my application. Could anyone guide me on statistics for acceptances and GRE scores? I am unable to find anything. -Freddy
  14. More Informatics blog posts

    Let us know if you need any help getting this up and running!
  15. Hi there, Sorry nobody has replied to this! I would reach out the program coordinator of the program and ask them about this. I am sure you are not the only person who has lots of research experience, but no publications. Don't let this be a deterrent for you applying just yet.
  16. Thought this was interesting and relevant to this section. A platform that is used by called Splunk many tech companies is now going to start incorporating artificial intelligence. The people behind Splunk state that by incorporating artificial intelligence, they are able to improve operations by: Check out the full article below! https://www.forbes.com/sites/bernardmarr/2017/09/26/new-tool-uses-machine-learning-and-artificial-intelligence-to-improve-it-operations/#6c7f1ba63789
  17. Do Ph.D Programs accept MCAT scores

    Went ahead and updated Eli's list with your suggestion Stephanie.
  18. Can't answer this question directly, but I will say, I personally did my undergraduate and masters degree at the same university, and am doing my Ph.D somewhere else. It's been great having the opportunity to explore another college and break out of my comfort zone.
  19. As a Bioinformaticians or Computational Biologist, what are some issues that you have faced early on in your career? This could range from issues with programming, issues with software, issues with algorithms, and even issues with biological questions/ideas.
  20. Which Software Do You Use for Data Mining?
  21. Do Ph.D Programs accept MCAT scores

    Georgetown accepts MCAT scores or people going into Masters. I know this thread is about Ph.Ds, but I thought that could be beneficial to know: https://microbiology.georgetown.edu/admissions
  22. My PI told me during my application process that is was better to have a diverse list of schools that you attended, rather than having all your degrees coming from the same school. It shows that you have the ability to adapt and succeed in different environments. He also mentioned that somebody getting all their degrees from one place isn't bad, but it could raise some flags.
  23. This goes to out to everyone, especially our new members! If you haven't realized already, one of the features of becoming a member of YDSOA is that you are able to create your own blog, and post articles related to Informatics, Data Science, or any other topic you'd like. To do this, head over to this link and select "Create New Blog." From there you can give a name to blog, add a description, and then eventually you can post your own topics. Let us know if you have any questions!
  24. It is a common misconception that only those with a Ph.D. or geniuses can understand the math/programming behind data science. This is absolutely false. Understanding data science begins with three basic areas: Math/statistics: This is the use of equations and formulas to perform analysis Computer programming: This is the ability to use code to create outcomes on the computer Domain knowledge: This refers to understanding the problem domain (medicine, finance, social science, and so on) Data Science is the intersection of the three key areas mentioned earlier. In order to gain knowledge from data, we must be able to utilize computer programming to access the data, understand the mathematics behind the models we derive, and above all, understand our analyses place in the domain we are in. This includes the presentation of data. If we are creating a model to predict heart attacks in patients, is it better to create a PDF of information or an app where you can type in numbers and get a quick prediction? All these decisions must be made by the data scientist.
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