Home

Current Position

  • September 2016 – present.
    University Lecturer in Machine Learning (equivalent to US Assistant Professor) at the Department of Engineering in the University of Cambridge, UK.

Past Positions

Latest News

Sept 28, 2016
I will be giving a talk at the IPAM workshop on “Machine Learning Meets Many-Particle Problems”. The title of the talk is “Bayesian Optimization for Accelerated Exploration of Chemical Space”.
May 30, 2016
I am very happy to announce that since Sep. 2016  I will be a lecturer (equivalent to US Assistant Professor) in machine learning at the Department of Engineering in the University of Cambridge, UK.
May 30, 2016
My paper “A General Framework for Constrained Bayesian Optimization using Information-based Search” has been accepted for publication at the Journal of Machine Learning Research. Thanks to my wonderful coauthors, Mike, Ryan, Matt and Zoubin!
Apr 27, 2016
Three of my papers have been accepted for presentation at ICML 2016: Black-Box Alpha Divergence Minimization”, “ Deep Gaussian Processes for Regression using Approximate Expectation Propagation”, “Predictive Entropy Search for Multi-objective Bayesian Optimization”. The pdfs are available at the publications tab.
March, 2016
New paper accepted at ISCA 2016 on designing energy efficient neural network accelerators.
March, 2016
I got one paper accepted at CVPR 2016 with my wonderful coauthors Viktoria, Daniel and Novi.

Short Biography

Since Sep 2016, I am a University Lecturer (equivalent to US Assistant Professor) in Machine Learning at the Department of Engineering in the University of Cambridge, UK. I was before a postdoctoral fellow in the Harvard Intelligent Probabilistic Systems group at the School of Engineering and Applied Sciencies of Harvard University, working with the group leader Prof. Ryan Adams. This position was funded through a post-doctoral fellowship given by the Rafael del Pino Foundation. Before that, I was a postdoctoral research associate in the Machine Learning Group at the Department of Engineering in the University of Cambridge (UK) from June 2011 to August 2014, working with Prof. Zoubin Ghahramani. During my first two years in Cambridge I worked in a collaboration project with the Indian multinational company Infosys Technologies. I also spent two weeks giving lectures on Bayesian Machine Learning at Charles University in Prague (Czech Republic). From December 2010 to May 2011, I was a teaching assistant at the Computer Science Department in Universidad Autónoma de Madrid (Spain), where I completed my Ph.D. and M.Phil. in Computer Science in December 2010 and June 2007, respectively. I also obtained a B.Sc. in Computer Science from this institution in June 2004, with a special prize to the best academic record on graduation. My research revolves around model based machine learning with a focus on probabilistic learning techniques and with a particular interest on Bayesian optimization, matrix factorization methods, copulas, Gaussian processes and sparse linear models. A general feature of my work is also an emphasis on fast methods for approximate Bayesian inference that scale to large datasets. The results of my research have been published at top machine learning journals (Journal of Machine Learning Research) and conferences (NIPS and ICML).

Contact Information

Department of Engineering
University of Cambridge
Trumpington Street
Cambridge CB2 1PZ, UK
Email: jmh233-at-cam.ac.uk

Curriculum Vitae

My CV can be downloaded from this link [pdf].