Prior to joining Harvard in 2004, Professor Wolfe held a Fellowship and College Lectureship jointly in Engineering and Computer Science at New Hall, a Cambridge College where he also served as Dean. He has also taught in the Department of Statistical Science at University College, London, and continues to act as a consultant to the professional audio community.

In addition to his diverse teaching activities, Professor Wolfe has published in the literatures of engineering, computer science, and statistics, and has received honors from the Acoustical Society of America and the International Society for Bayesian Analysis. His research interests lie at the intersection of statistical signal processing and numerical harmonic analysis, and encompass general as well as audio-related applications. Major areas of emphasis include:

• Probabilistic modeling: Bayesian time series estimation, regression and variable selection with application to non-linear and non-Gaussian signal processing, stochastic computation including Markov chain Monte Carlo (MCMC) and sequential Monte Carlo methods
• Machine learning: Support vector machines and other kernel methods, feature selection and extraction, sparsity and overcomplete representations
• Time-frequency analysis: Gabor (and wavelet) frames, sampling theory, non-linear approximation and data compression, time-frequency distributions, reassignment methods
• Audio applications of signal processing: Speech enhancement, audio restoration, audio signal processing for multimedia, analysis of musical signals
• Auditory perception and psychoacoustics: Auditory modeling, perceptual quality metrics, speech recognition in noise, biomedical applications