Seminars

• Brown Probability Seminar
• Lefschetz Center for Dynamical Systems Seminar
• BU/Brown PDE Seminar

Links

• The Probability Web

Some Interesting Journals

• Annals of Probability
• Archive for Rational Mechanics and Analysis
• Communications in Mathematical Physics
• Europhysics Letters
• Journal of Statistical Physics
• Nonlinearity
• Probability Theory and Related Fields

Technology

• My personal machines run Debian stable and the experience has been overwhelmingly positive. I've traded away the latest bleeding-edge versions of the software and support for hardware which is both new and weird to get extreme reliability, and the resulting system does what I need without needing much from me.
• For all my text editing I rely on GNU Emacs. There is a learning curve associated with this, but such a versatile tool is worth the effort.
• GNU Octave is a free high-level language for numerical mathematics offering some of the same capabilities as MathWork's MATLAB.
• More recently I've been using Python, together with the Numpy, Matplotlib, and NetworkX packages for research purposes. Compared to Octave, this toolset is less similar to MATLAB but seems to have a much larger community of users.
• Students sometimes wonder how mathematicians and experts in other technical fields produce documents with such elegantly typeset mathematics. In most of the cases with which I am familiar, the underlying tools are the LaTeX document preparation system running atop the TeX typesetting system. I use the TeX Live distribution, which includes these and many associated packages.