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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!
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?
Hi everyone! I am so excited to start grad school next fall but am faced with a really tough decision!! I am really interested in cancer biology, and would study a wide range of topics within the field. I am deciding between gerstner Sloan Kettering and MIT! Both schools have lots of faculty I am interested in so its difficult to decide, and as you can see I can't seem to think of many cons to either- so I could really use some advice! Here are some pros and cons I came up with: GSK: More translational research, biomedical focus, Manhattan, awesome housing, clinical program, also has cancer immunology MIT: Its MIT, in the center of biotech, broader training, Boston, collaborative across many disciplines, I am interested potentially in doing a some what computationally related project and they have many cancer biologists who do this, an especially intense/intellectually stimulating environment Cons GSK: very cancer bio focused, newer program MIT: Lack of cancer immunology, kind of want to leave boston Thanks so much in advance!