Ph.D. and Master Programs at University of Birmingham

Speaker:   Prof. Jinglai Li

Time:       16:00-17:00, Oct. 22

Location:  SIST 1A-402

Host:       Prof. Qifeng Liao

Abstract:

The University of Birmingham is a public research university located in Edgbaston, Birmingham, United Kingdom. It received its royal charter in 1900, making it the first English red brick university to receive its own royal charter. It is a founding member of both the Russell Group of British research universities and the international network of research universities, Universitas 21. The student population includes 22,940 undergraduate and 12,505 postgraduate students, which is the fourth largest in the UK (out of 169). The University of Birmingham is ranked 96th in the world by the 2020 U.S. News & World Report and 87th in the QS World University Rankings.

The university is home to the Barber Institute of Fine Arts, housing works by Van Gogh, Picasso and Monet; the Shakespeare Institute; the Cadbury Research Library, home to the Mingana Collection of Middle Eastern manuscripts; the Lapworth Museum of Geology; and the 100-metre Joseph Chamberlain Memorial Clock Tower, which is a prominent landmark visible from many parts of the city. Academics and alumni of the university include former British Prime Ministers Neville Chamberlain and Stanley Baldwin, the British composer Sir Edward Elgar and eleven Nobel laureates.

Bio:

Jinglai Li received the B.Sc. degree in Applied Mathematics from Sun Yat-Sen University in 2002 and the PhD degree in Mathematics from SUNY Buffalo in 2007. After his PhD degree, Jinglai Li did postdoctoral research at Northwestern University (2007-2010) and MIT (2010-2012) respectively. He subsequently worked at Shanghai Jiao Tong University (Associate Professor, 2012-2018) and University of Liverpool (Reader, 2018-2020). Jinglai Li joined the University Birmingham in 2020 where he is currently a Professor of Mathematical Optimisation. Jinglai Li's current research interests are in scientific computing, computational statistics, uncertainty quantification, data science and their applications.