I have graduated from CMU! I am now a DPhil candidate in computer science at the University of Oxford and research scientist at Google DeepMind .
I was a second-year research master's student at the Language Technologies Institute
, School of Computer Science
, Carnegie Mellon Univeristy
. I am very fortunate to be advised by Chris Dyer
, and also collaborate closely with Noah Smith
, Miguel Ballesteros
, and Graham Neubig
. I am a Graduate Research Assistant working on the DARPA Low Resource Languages for Emergent Incidents ( LORELEI
) project here at CMU.
In the summer of 2016 I did a research internship at the University of Washington
, Seattle, advised by Noah Smith
. Before coming to CMU I was a research intern at the Nara Institute of Science and Technology Computational Linguistics lab
, Japan, advised by Kevin Duh
. I completed an M.Sc. in Computer Science from the University of Oxford
in 2014, advised by Phil Blunsom
, and a B.Eng. in Informatics from Institut Teknologi Bandung
Please see my CV
(last updated December 2016) for more details.
I am working on the intersection between machine learning and natural language processing (NLP).
I am broadly interested in the following:
- Dependency parsing, phrase-structure parsing, named entity recognition (and other structured prediction problems)
- Neural network and representation learning methods for NLP tasks
- Cross-lingual and multi-lingual learning for low-resource languages
- Generative models of language and semi-supervised learning with latent variables
- Reinforcement learning for structured prediction
My first name ('Adhi') is pronounced as 'Uh-dee'. I grew up in Jakarta, Indonesia, before moving to Bandung, West Java for my undergraduate years. I have additionally lived in Melbourne, Oxford, Nara, and Pittsburgh. I enjoy Scuba diving.
If you are an Indonesian student looking to apply/enroll at CMU, feel free to send me an e-mail and check out our webpage
. We'd be happy to help! I'd also recommend the Indonesia Mengglobal webpage
and their mentorship program.