• Raluca Balan (University of Ottawa): Recent advances on SPDEs with colored noise in time
• Davar Khoshnevisan (University of Utah): Valleys for the stochastic heat equation
• Neil O’Connell (University College Dublin): Some integrable models in probability
• Tianyi Zheng (UCSD): Furstenberg entropy spectrum of stationary actions
SCIENTIFIC ADVISORY COMMITTEE
This program was chosen by: Louis-Pierre Arguin, Yuri Bakhtin, Nayantara Bhatnagar, Paul Bourgade, Ivan Corwin, Julien Dubedat, Ramon Van Handel, Elena Kosygina, Eyal Lubetzky, Carl Mueller, Daniel Ocone, Robin Pemantle, Victor de la Pena, Brian Rider
and Jay Rosen.
WEBSITE
Consult the seminar Web site
https://probability.commons.gc.cuny.edu/21st-northeast-probability-seminar/ for further information.
DINNER RUN BY WOMEN IN PROBABILITY
There will be a special dinner on Wednesday November 16 accompanying the seminar. It will be organized by Women in Probability
http://womeninprobability.org/. Anyone interested in joining should contact Tai Melcher at
[log in to unmask].
SHORT TALKS BY JUNIOR PARTICIPANTS
As at the previous seminars, there will be time for short talks (see below for instructions to apply) and discussion sessions. Junior participants are encouraged to apply to give short talks. The link for application is
https://forms.gle/x6TeS7sJR9LdMAS29 and the deadline is October 1, though applications after then may still be considered if space is available.
THANKS
We gratefully acknowledge the generous funding from the National Science Foundation that makes this event possible.
FINANCIAL SUPPORT IS AVAILABLE
The NSF grant allows us to offer some financial support to participants from US Universities. We will give preference to graduate students, postdocs, women and minorities, and junior faculty.
• A letter (up to one page) explaining their interest in the seminar and its relation to their research interests
• A current CV
• Graduate students and postdocs should also arrange for a brief letter of recommendation to be sent to
[log in to unmask] from their advisor or an expert familiar with their
work.