Scholar
Saifuddin Syed
Google Scholar ID: R8ULnXoAAAAJ
University of Oxford
Citations & Impact
Citations
352
H-index
7
i10-index
7
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- For an up-to-date list of publications, see his Google Scholar page.
Research Experience
- Focuses on the design and analysis of annealing algorithms for scalable Bayesian inference. Closely collaborates with scientists across a variety of application domains including astronomy, chemistry, and biotechnology. Member of the Algorithms and Inference Working Group for the Next Generation Event Horizon Telescope (ngEHT).
Education
- PhD: supervised by Alexandre Bouchard-Côté; Postdoc: supervised by Arnaud Doucet; Previously, a Florence Nightingale Bicentenary Fellow in Computational Statistics and Machine Learning at the University of Oxford’s Department of Statistics.
Background
- Interests: Monte Carlo methods, Annealing algorithms, Neural samplers, Bayesian inference, AI for science; Bio: Assistant Professor in the Department of Statistics at the University of British Columbia and an inaugural member of the AI Methods for Scientific Impact (AIM-SI) cluster within the Centre for Artificial Intelligence Decision-making and Action (CAIDA).
Miscellany
- Contact: saif.syed@stat.ubc.ca, +1 604 822 4673, Office: 3182 Earth Sciences Building, 2207 Main Mall, Vancouver, BC V6T 1Z4, Room 3148
Co-authors