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Most of the "interdisciplinary" research I see is just one lab sending a dataset they generated from experiments to some ML collaborator, who just run some fair
by SQueeeeeL 6y ago
Most of the "interdisciplinary" research I see is just one lab sending a dataset they generated from experiments to some ML collaborator, who just run some fairly low hanging Logistic Regression and RF on the data. I don't see a lot of places where people with deep statistical/computational understanding tackle the problems with gathering data, and working on understanding underlying processes. A lot of this comes down to how short PhD programs actually are, learning both neurology, GPU programming (not just plug and chug torch) and statistics would probably take 8-10 years; and most people/schools won't bare that commitment
- dhairya 6y agoThat's fair. It's hard to generalize as there is definitely a mixture of good and bad research out there. As a counter point I had to opportunity to observe the Summer Workshop on the Dynamic Brain (https://alleninstitute.org/what-we-do/brain-science/events-training/summer-workshop-dynamic-brain/#details https://alleninstitute.org/what-we-do/brain-science/events-t...) which had fascinating interdisciplinary research at the intersection of computer vision, ML, data science, and foundational neuroscience research. There many other programs and research groups I can mention that do quality interdisciplinary research and train interdisciplinary students.