I’m currently studying a MPhil in Machine Learning at Cambridge University, UK. As an undergrad, I studied were in biomedical engineering at EPFL, Switzerland and spent an exchange year at UBC, Canada. Before coming to England, I had the chance to work :
As a Data Scientist Trainee in Grab’s User Trust Team. Grab is the leading ride-hailing startup in Asia-Pacific, which explains why you’ve never heard of it . I was working on building a general NLP pipeline and classifying user review. It was a lot of fun, but challenging as the text can be in Thai, Vietnamese, Bahasa, Burmese, … Side Note: Thai doesn’t use whitespacestoseparatewords ! Not so simple for preprocessing .
As a Research Assistant at the ILLC, University of Amsterdam, Netherlands’s. There I was working under the supervision of Dr. Elia Bruni, on enabling extrapolation in NLP through a new attention mechanism.
In my free-time I like to play many sports (basketball, volleyball, bouldering, rowing: you name it), watch machine learning MOOCs and trying to improve cool ideas (e.g. Hash Embeddings).
I find most of the ML domains fascinating, but I’m especially interested representation learning and applications to NLP. I want to spend my next few year investigating probabilistic grounded representations of concepts: some kind of Word2Vec which is trained through embodied multi-modal data, and is encoded as probability distributions instead of point estimates on a high dimensional manifold.
PS: Check out my resume for more information.
PSx2: This picture was taken a loooooong time ago, but I thought it was appropriate for this page .