PeopleofSuperintelligence

Researcher

Simon Godsill

Also known as Simon John Godsill

Simon Godsill is a Cambridge professor whose Bayesian signal-processing work spans particle filtering, audio restoration, tracking and machine learning. He completed an engineering PhD at Cambridge in 1993 and coauthored Digital Audio Restoration with Peter Rayner in 1998. His 2001 paper with Arnaud Doucet and Mike West developed a particle-filter method for maximum a posteriori sequence estimation, and he served as technical chair of a sequential-filtering workshop in 2006. IEEE named him a Fellow in 2022 for contributions to statistical signal processing for tracking and audio restoration; in 2023, he supervised a Cambridge machine-learning study of driver workload. As of October 2026, he is Professor of Statistical Signal Processing in Cambridge's Engineering Department.

Works
421
Citations
14,669
h-index
49
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1993

    An audio restoration PhD

    He earns a PhD in the Department of Engineering at Cambridge in 1993 with a thesis titled "The Restoration of Degraded Audio Signals".

  2. 1998

    Digital audio restoration

    He coauthors Digital Audio Restoration with Peter Rayner in 1998.

  3. 2001

    Particle filters for sequence estimation

    He coauthors the paper "Maximum a posteriori sequence estimation using Monte Carlo particle filters" with Arnaud Doucet and Mike West in 2001. It uses a particle representation and dynamic programming to estimate trajectories in nonlinear, non-Gaussian models.

  4. 2006

    A filtering workshop

    He serves as technical chair of IEEE's NSSPW workshop in 2006 on sequential and nonlinear filtering methods.

  5. 2009–2010

    A Monte Carlo research program

    He co-organizes an 18-month research program in Sequential Monte Carlo Methods at the SAMSI Institute in North Carolina in 2009–2010.

  6. 2022

    An IEEE Fellowship

    IEEE names him a Fellow in 2022 for contributions to statistical signal processing for tracking and audio restoration.

  7. 2023

    Machine learning for driver workload

    A Cambridge team under his supervision uses on-road data and supervised machine learning to profile drivers' average workload in 2023.

  8. As of October 2026

    Professor at Cambridge

    As of October 2026, he is Professor of Statistical Signal Processing in the Engineering Department at Cambridge University.

Career

  1. Since 1991University of CambridgeProfessor of Statistical Signal Processing

Education

  1. 1993University of CambridgePhD

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Cambridge. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of Cambridge. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  3. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes University of Cambridge. Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.
  4. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorateIncludes University of Cambridge. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorate. Across 2,116 people with both an undergraduate degree and a doctorate recorded, we trace which undergraduate schools feed which doctoral programs, how often students stay at the same school, and how paths differ by birth-country region.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Simon Godsill en.wikipedia.org. Checked 20 October 2026.
  2. Simon Godsill | Department of Engineering eng.cam.ac.uk. Checked 20 October 2026.
  3. Maximum a posteriori sequence estimation using Monte Carlo particle filters ism.ac.jp. Checked 20 October 2026.
  4. UDRC Application Leads become Fellows of IEEE udrc.eng.ed.ac.uk. Checked 20 October 2026.
  5. Using machine learning to monitor driver ‘workload’ could help improve road safety cam.ac.uk. Checked 20 October 2026.