Homepage for Jonathan Rubin



Home Research CV

I am a Senior Scientist at Philips Research North America in Cambridge, MA. Currently, I am also a Research Affiliate of the ALFA Group: Anyscale Learning For All at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Previously, I was a researcher in the System Sciences Laboratory at PARC, A Xerox Company in Palo Alto, California, USA.

I received my PhD in Computer Science from the University of Auckland in June 2013 under the supervision of Assoc Prof. Ian Watson. My PhD research focused on the use of artificial intelligence for strategy generation in computer games.

My current research focuses on the development and application of machine/deep learning algorithms to physiologic waveform and biomedical imaging datasets. I have developed deep learning algorithms that are able to recognize abnormalities in recorded heart sounds, identify arrhythmias in ECG waveforms and perform automated classification of radiological findings within chest x-ray images.

I started the IJCAI Workshop on Knowledge Discovery in Healthcare Data, which has been held annually at IJCAI since 2016.
2016, 2017, 2018

I enjoy participating in competitive machine learning challenges. My entry to the 2016 PhysioNet Computing in Cardiology Challenge achieved a Top 10 place finish. I participated in the 2017 Kaggle Data Science Bowl, where our team's entry placed in the top 2.5% out of 1,972 teams. During my PhD, I created a suite of computer poker players, nicknamed Sartre, which earned 1 gold, 5 silver and 3 bronze medals at the 2011 and 2012 AAAI Computer Poker Competitions.


My Linkedin profile

My Google Scholar profile

My github repositories