Professor Sofia Charlotta
Olhede
Professor Department
of Statistical Science
Honorary Professor Department
of Computer Science
Honorary Research Associate Department of Mathematics
ERC Consolidator Fellow
Picture by Kirill Photography
e-mail:
s.olhede at ucl.ac.uk
phone (internal): 48321
(external): +44 (0)20 7679 8321
(fax): +44 (0)20 7383 4703
Mail:
Professor Sofia Olhede
Department of Statistical Science
University College London
Gower Street, London WC1E 6BT
Visiting
Address:
Professor Sofia Olhede
Department of Statistical Science
University College London
Algorithms in
Society
I have an interest in how data and algorithms are
impacting our daily lives. I serve on a Law Society Public Policy Commission
on Algorithms
in the Justice system. In October 2017 I organized a Royal
Society discussion meeting on Algorithms in Society, and a special issue
will be forthcoming. I have been part of the Royal
Society committee on Machine Learning, as well as the British
Academy and Royal Society committee on data governance. I have also been
involved with the IEEE project on
ethically aligned design.
I also write popular science articles about the
impacts of data science:
S. Olhede and P. Wolfe, Quo Vadis
Data Science? IMS Bulletin, p 10, vol 46, issue
8, 2017.
S. Olhede & P. Wolfe. 2018. The
AI Spring of 2018. Significance,15(2), 6—7.
S. Olhede & P. J. Wolfe. 2017. When
algorithms go wrong, who is liable? Significance, 14(6), 8–9.
S. Olhede & R. Rodrigues. 2017. Is
data a commodity?, Significance , 14(5),
10–11.
S. Olhede & R. Rodrigues. 2017. The
computer ate my personality, Significance, 14(3), 6–7.
S. Olhede & R. Rodrigues. 2017. Fairness
and transparency in the Age of the Algorithm, Significance
, 14(2), 8–9.
Data Science
I work
in the area of data science. Excitement about data science is now pervasive in
our daily lives. Data is collected ubiquitously, and from every aspect of our
lives. The techniques and methods we use to understand the new types of
observations need revitalizing, and our understanding of ethical behavior
revisiting. My main area of research is network analysis, where I study the
analysis of large and heterogeneous networks.
Future
of Statistics report: http://www.worldofstatistics.org/wos/pdfs/Statistics&Science-TheLondonWorkshopReport.pdf
Scoping data science: https://aticdn.s3-eu-west-1.amazonaws.com/2015/06/The-Alan-Turing-Institute-Scoping-Programme.pdf
Please submit an
application to UCL asap http://www.ucl.ac.uk/stats/prospective_postgraduates/ as this will greatly reduce handling time.
Popular science:
Research – teaser
video on my research http://www.youtube.com/watch?v=na6yqiVMicE
Audio
teaser - https://soundcloud.com/uclsound/patterns-in-phenomena
Full
lunch hour lecture http://www.youtube.com/watch?v=t2Uoc5wY7SI&feature=c4-overview-vl&list=PL3pa6ekyhtl0n3syp8nwyTynFmT0_ENtV
Technical talks:
Talk
on Whittle Likelihood May 1st 2014 http://www.birs.ca/events/2014/5-day-workshops/14w5157/videos/watch/201405011433-Olhede.mp4
Talk
on nonstationary processes January 15th 2014 http://www.newton.ac.uk/programmes/ICP/seminars/2014011511301.html
Talk
on harmonizable processes September 7th 2011 http://www.ima.umn.edu/videos/?id=1734
Talk
on financial time series 20th June 2008 http://www.newton.ac.uk/programmes/SCH/seminars/2008062015301.html
Talk
on medical imaging 6th March 2008 http://www.newton.ac.uk/webseminars/pg+ws/2008/sch/0306/olhede/