GRAMSIA: Graphical Models, Statistical Inference, and Algorithms

05/16/2023 9:00 am - 05/19/2023 5:00 pm
CMSA Room G10
Address: CMSA, 20 Garden Street, Cambridge, MA 02138 USA

On May 16 – May 19, 2023 the CMSA will be hosting a four-day workshop on GRAMSIA: Graphical Models, Statistical Inference, and Algorithms. The workshop will be held in room G10 of the CMSA, located at 20 Garden Street, Cambridge, MA. This workshop is organized by David Gamarnik (MIT), Kavita Ramanan (Brown), and Prasad Tetali  (Carnegie Mellon).

The purpose of this workshop is to highlight various mathematical questions and issues associated with graphical models and message-passing algorithms, and to bring together a group of researchers for discussion of the latest progress and challenges ahead. In addition to the substantial impact of graphical models on applied areas, they are also connected to various branches of the mathematical sciences. Rather than focusing on the applications, the primary goal is to highlight and deepen these mathematical connections.

Location: Room G10, CMSA, 20 Garden Street, Cambridge MA 02138

Directions and Recommended Lodging

Registration is required.

Register here to attend in-person.

Note: This conference will be held in-person only.


  • Jake Abernathy (Georgia Tech)
  • Guy Bresler (MIT)
  • Florent Krzakala (Ecole Polytechnique Federale de Lausanne)
  • Lester Mackey (Microsoft Research New England)
  • Theo McKenzie (Harvard)
  • Andrea Montanari (Stanford)
  • Elchanan Mossel (MIT)
  • Patrick Rebeschini (Oxford)
  • Subhabrata Sen (Harvard)
  • Devavrat Shah (MIT)
  • Pragya Sur (Harvard)
  • Alex Wein (UC Davis)
  • Yihong Wu (Yale)
  • Sarath Yasodharan (Brown)
  • Horng-Tzer Yau (Harvard)
  • Christina Lee Yu (Cornell)
  • Ilias Zadik (MIT)

Moderators: Benjamin McKenna, Harvard CMSA & Changji Xu, Harvard CMSA

Graduate students and postdocs may apply for a travel fellowship of up to $750. To apply, please submit your CV to Alaina Fernandes at by April 14th. Graduate students are also required to submit a letter of support from their advisor.


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