Professor and Turing Fellow
  Department of Computer Science
  University College London

  Research Consultant

  Office : 66 Gower Street
                Department of Computer Science
                University College London

Short Bio

I am a Professor and Turing Fellow at University College London, Department of Computer Science. I also work as a research consultant for Microsoft Research, Cambridge and serve as one of the organisers of the Centre for Computational Statistics and Machine Learning (CSML) at UCL. My research interests lie in the areas of information retrieval, data mining, and applications of machine learning, probability and statistics. I am also a co-founder of the company, UserContext.AI, where we focus on user engagement, personalisation, inferring users interests and recommendation based on users histories and contents they have visited in the Web.

I am a recipient of the Early Career Fellowship from the Engineering and Physical Sciences Research Council (EPSRC). To this date, I have received approximately 1.5 million GBP external funding from funding agencies including European Union, EPSRC, Google,  Elsevier and Bloomberg. I am an elected member of the executive committee for ACM SIGIR and serve as one of the editors in chief for the Information Retrieval Journal and am a member of the editorial board for the AI Journal. I am the recipient of Karen Sparck Jones 2015 Award for the contributions of my work to the information retrieval research. I am also one of the recipients of the Google Faculty Research Award in 2015 and the Bloomberg Data Science Research Award in 2018. 

I have served in various roles including PC Chair for the ACM SIGIR 2018 and ACM ICTIR 2017 Conferences, Track Chair for The Web 2018 Conference, Practice and Experience Chair for ACM WSDM 2017, and as the Doctoral Consortium Chair for ECIR 2017. I will also be serving as a PC Chair for ECIR 2020. 

Between 2015-2017 I co-organised the TREC Tasks Track, funded by the National Institute of Standards and Technology (NIST). More information on the Tasks Track can be found here. I will also be co-organising the Deep Learning Track as part of TREC 2019.

 For more information about recent publications, please visit my publications page.

I am currently recruiting new PhD students and postdocs. Interested applicants with strong backgrounds in machine learning, probability and statistics are highly encouraged to contact me via email. 

Group Members

  • Omer Kirnap, PhD student (December 2018 - now)
  • Dr. Aldo Lipani, Post-doc researher (October 2018 - now)
  • Sahan Bulathwela, PhD student (February 2018 - now)
  • Andrew Burnie, PhD student, Turing Institute (September 2017 - now)
  • Qiang Zhang, PhD student (September 2017 - now)
  • Bhaskar Mitra, PhD student (February 2016 – now)
  • Andrew Mpapalika, PhD student (September 2016 – now)
Previous Members
  • Sebastin Santy, Research intern (Summer 2018)
  • Rishabh Mehrotra, PhD student (February 2014 – 2018)
  • Manisha Verma, PhD student (November 2013 – 2017)
  • Shangsong Liang, Post-doc researcher (May 2015 – 2017)
  • Mengdie Zhuang, Research intern, Turing Institute (Summer 2017)
  • Jiyin He, Visiting researcher (February 2015 – 2016)

Latest News

  • December 2018 - I will be a PC Chair for the ECIR 2020 Conference.
  • December 2018 Omer Kirnap joined the group as a PhD student.
  • November 2018 - I will be giving a lecture at the ACM SIGIR/SIGKDD Summer School on Machine Learning for Data Mining and Search.
  • November 2018 - We have a paper accepted to the Bayesian Deep Learning Workshop at NeurIPS 2018.
  • October 2018 - I will be co-organising The Deep Learning Track at TREC 2019.
  • October 2018 - Dr. Aldo Lipani joined the group as a post-doc researcher
  • October 2018 - I gave an invited talk at the Amazon Research Days in Cambridge.
  • August 2018 - I am one of the recipients of the Bloomberg Data Science Research Awards!
  • July 2018 - I was a PC Chair for the SIGIR 2018 Conference.