Organization / Workplace
London, United Kingdom United Kingdom
Principal Applied Scientist at Microsoft
Technology / Software / Internet
I am a Principal Applied Scientist at Bing in Microsoft Research Cambridge. My research is focused on Web search, information retrieval and machine learning. I started at Bing in 2007 (then called Live Search) at the Search Technology Center in India. Since then I have worked on a number of problems related to document ranking, query formulation and recommendation, query re-writing, entity ranking and evaluation. My current research interests center on representation learning and in particular their application to modern day information retrieval.
information retrieval deep learning neural networks web search neural information retrieval deep neural networks search machine learning word embeddings search engine learning to rank trec document ranking evaluation trec deep learning benchmarking recommender systems expected exposure stochastic ranking ms marco bert document retrieval embeddings web ranking demographics search exposure exposure fairness conformer-kernel conformer leaderboard msmarco efficiency adversarial learning reinforcement learning representation learning microsoft duet sigir 2016 neu-ir 2016 sigir2016 text embeddings word2vec query formulation query auto-completion ethics data challegne shared task full retrieval qti query term independence transformer datasets domain transfer transfer learning query evaluation semantic search natural language processing bing ucl university college london sigir 2017 www2017 adhoc retrieval acl2016berlin acl2016 pseudo-relevance feedback artificial intelligence recurrent neural networks rnn ai metrics web qna question-answering neu-ir2016 auto suggest london cntk search solutions 2015 computational network toolkit auto completion dssm pointwise mutual information search solutions contextual searchSee more