Co-founder of re:infer. re:infer is an ambitious technology startup that's bringing the latest advances in artificial intelligence to create intelligent natural language interfaces that let companies automate knowledge worker tasks. I'm an expert in machine learning and artificial intelligence with a firm background in mathematics. I studied postgraduate degrees in machine learning and artificial intelligence at Europe's leading AI departments -- UCL and Edinburgh. My research has been published in NIPs, AISTATs, Neural Computation, the Journal of Machine Learning Research and NeuroImage. Commercially, I've applied my technical expertise to problems in finance, consumer intent modelling and large scale distributed data mining. RECRUITERS: I am not seeking employment -- unless i know you please do not message me.

Co-founder @ Co-founder of re:infer. We're building intelligent natural language interfaces that automate knowledge worker tasks. The system understands natural language by employing the latest advances in AI and deep neural networks. re:infer is a spinout from the world leading AI research lab at UCL and has received seed investment from Seedcamp — Europe's most successful seed stage accelerator fund. From January 2015 to Present (10 months) London, United KingdomHonourary Research Associate @ From March 2015 to Present (8 months) Centre for Computational Statistics and Machine LearningPostdoctoral Researcher in Machine Learning @ Developing novel machine learning techniques. From December 2013 to Present (1 year 11 months) London, United KingdomDirector @ Machine Learning and Data Science solutions for industry. We offer consultancy and training to both large and small companies. From February 2014 to June 2015 (1 year 5 months) London, United KingdomData Scientist @ Building machine learning models that understand content and online user behaviour. Built probabilistic machine learning models that processed data at scales of 1TB + per day using Apache Spark. From July 2014 to May 2015 (11 months) London, United KingdomPostdoctoral Researcher @ Developed novel machine learning techniques to make automatic diagnoses of Alzhiemer's disease from resting state functional MRI scans. From June 2013 to December 2013 (7 months) Brighton, United KingdomMachine Learning Internship @ Worked on methods to improve the Bing search engine's ad placement delivery engine. From October 2012 to January 2013 (4 months) Microsoft Research CambridgeAnalyst @ Equity finance desk, interest rate swap unwinding, business development. From October 2007 to August 2009 (1 year 11 months)

Doctor of Philosophy (Ph.D.), Machine Learning @ UCL From 2009 to 2013 MSc., Artificial Intelligence, Distinction @ The University of Edinburgh From 2006 to 2007 BSc., Mathematics, First class honours. @ University of Bristol From 2003 to 2006 Dr. Challis is skilled in: Machine Learning, Artificial Intelligence, Data Mining, Matlab, Statistics, Mathematical Modeling, Mathematics, Bayesian statistics, Algorithms, Data Analysis, Computer Science, LaTeX, Bayesian inference, Python, Statistical Modeling, R, Neural Networks, Quantitative Analytics, Applied Mathematics, Research, Statistical Data..., Pattern Recognition, Monte Carlo Simulation, Time Series Analysis, Text Mining, Statistical Computing, Signal Processing, Data Visualization, High Performance..., Scientific Computing, Data Science, Quantitative Research, Programming, Apache Spark, Big Data