His research interests include spoken language understanding, speech recognition, machine learning and applications of these technologies. He has published extensively in these fields and has received several patents for his work. At Carnegie Mellon University his research efforts have focused on robust integration of speech recognition and machine translation, unsupervised topic adaptation and optimization of speech-to-speech translation systems for mobile devices. During his time at CMU he led the development of numerous world-leading speech translation systems including submissions to IWSLT, TransTAC and GALE. Before joining Carnegie Mellon University, Ian was an intern researcher at ATR Spoken Language Communication Laboratories in Kyoto, Japan. He obtained a Ph.D. degree from Kyoto University in 2006 and a B.Tech. degree in 2000 from Massey University, New Zealand.