Functional Analysis, Neuroscience, and Grad School

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SUMMARY

The discussion centers on the decision-making process for graduate school applications in the fields of functional analysis and computational neuroscience. The participant, with a background in math and physics, expresses concern over job prospects in functional analysis, particularly in c*-algebras and operator theory, which appear underrepresented in the U.S. compared to Europe. They highlight the appeal of computational neuroscience due to its mathematical components and better accessibility to top programs like MIT and Harvard. The conversation also touches on the importance of maintaining broad interests in mathematics to avoid limiting future academic and career opportunities.

PREREQUISITES
  • Understanding of functional analysis and its applications in quantum field theory (QFT)
  • Familiarity with computational neuroscience and its mathematical foundations
  • Knowledge of c*-algebras and operator theory
  • Awareness of statistical methods used in neuroscience research
NEXT STEPS
  • Research the role of c*-algebras in quantum field theory
  • Explore the curriculum and research opportunities in computational neuroscience at MIT
  • Investigate the work of William Bialek and Michael Berry in theoretical neuroscience
  • Examine emerging fields in theoretical physics, such as quantum information theory
USEFUL FOR

This discussion is beneficial for undergraduate students in mathematics and physics considering graduate studies, particularly those interested in functional analysis, computational neuroscience, and the intersection of mathematics with theoretical physics.

empleh
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I'm going to be applying to grad schools next year (I have an undergrad degree in math and phyisics), and I have narrowed down my areas of interest to two fields: functional analysis and it's involvement in QFT; and computational/theoretical neuroscience. I find pure math more enjoyable, but I'm concerned about job prospects. The specific area of math I'm interested in doesn't seem to be that popular. Unless I'm blind, there appears to be very few mathematicians working in c* algebras and operator theory. There are many in Europe (in both math and physics) but not in America. Is there a reason for this? Is it career suicide to go into this field? I would think with the yang mills mass gap problem still unanswered, the field would be more populated.

The "safe" option is to scrap math and go into computational neuroscience. I've always been fascinated with the brain and see wonderful things happening once the brain is understood completely. Computational neuroscience has at least some mathematics involved in it, especially statistics. MIT has a statistical neuroscience group that works in this area. There is also people like William Bialek and Michael Berry at Princeton who use a lot of math in their theoretical models of the brain. One positive aspect of neuroscience is that getting into a grad program at a top school would be much much easier than in math. I can actually consider applying to MIT, Harvard, Caltech etc... which would be kind of refreshing.

Any advice? Are there any other fields out there that are "in demand" but use a lot of mathematics? Are there any areas of pure math that fit this description? Any areas of theoretical physics that are not overly saturated (quantum information?)?
 
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Just curious, how have you decided that your mathematical interests are so narrow at this point? The advice I have read strongly says to try to have as broad interests as possible when starting grad school (within reason; obviously you may know you prefer analysis to algebra) so that one will not be overly constrained in choice of school and advisor.
 

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