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POPL 2021
Sun 17 - Fri 22 January 2021 Online
Michael Carbin

Registered user since Thu 8 Mar 2018

Name:Michael Carbin
Bio:

Michael Carbin is the Jamieson Career Development Assistant Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology.

His primary research focus is the design of programming systems that manipulate system uncertainty to deliver improved performance, energy consumption, and resilience. Uncertainty — in the form of sampled and sensed values, dynamic computation structure, and intermittently available computing — is a first-order challenge in modern computing systems.

His research on verifying the reliability of programs that execute on unreliable hardware has received best paper awards at leading programming languages conferences (OOPSLA 2013 and OOPSLA 2014) as well as a Communications of the ACM Research Highlight in 2016. He has also published work at leading programming languages and systems conferences, including PLDI, OOPSLA, ASPLOS, LICS, SOSP, ICSE, and PPoPP.

Affiliation:Massachusetts Institute of Technology

Contributions

LAFI 2021 On the Automatic Derivation of Importance Samplers from Pairs of Probabilistic Programs
POPL 2021 λS: Computable Semantics for Differentiable Programming with Higher-Order Functions and Datatypes
Simplifying Multiple-Statement Reductions with the Polyhedral Model
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