Hi! My name is Ryutaro, and I’m a senior researcher in the Healthcare Intelligence group at Microsoft Research Cambridge.
My research focuses on developing high-performance machine learning algorithms which are risk-aware, interpretable and robust for safe use in healthcare applications.
Previously, I was a PhD student in the Department of Computer Science at UCL where I was supervised by Daniel C. Alexander at CMIC UCL and Antonio Criminisi at Amazon Cambridge (my CV last updated 10/07/2019).
In the last few years, I have also had the fortune to get involved in startups at different stages of maturity. Between Dec 2016 and May 2018, I worked part-time at ThinkSono as one of the starting members, where I co-developed the prototype of a real-time deep-learning based system for detecting deep vein thrombosis in ultrasound videos. The company was selected by the Bayer accelerator in 2017 as one of the top 4 digital health startups out of >450 applications received across the globe. I subsequently spent the summer of 2018 as a research intern at Butterfly Network, a NY-based unicorn that develops an intelligent and portable ultrasound probe. Since April 2019, I have been consulting for SyntheticGestalt, a drug discovery startup based in Tokyo.
PhD in Machine Learning, 2019
University College London
MPhil in Computational Neuroscience, 2015
University of Cambridge
MASt in Pure Mathematics, 2014
University of Cambridge
BSc in Pure Mathematics, 2013
Imperial College London
Apr 21, 2021, CS 523: Research Seminar in Computer Vision and Healthcare, Stanford University
Feb 25, 2021, Research Seminar, Technische Universität München
Feb 22, 2021, VoxelTalk, MIT, CSAIL
Oct 8, 2020, Keynote Talk, CDMRI workshop at MICCAI 2020
Aug 25, 2019, Google DeepMind Health
Jun 30, 2019, PyData Cambridge Meetup
Jun 12, 2019, ICML, Short oral
May 20, 2019, Microsoft London Lunch Seminar
Feb 20, 2019, London Machine Learning Meetup
Dec 21, 2018, University of Tokyo Hospital, 22世紀医療センター, コンピュータ画像診断学／予防医学講座
Dec 17, 2018, Hiroshima City University, Department of Information Science
Nov 26, 2018, Imperial College London, Deep Learning Seminar
Oct 16, 2018, NYU Langone Medical Center, Department of Radiology, CAI2R Seminar
Oct 15, 2018, NYU, Courant Institute of Mathematical Science, CILVR seminar series
May 12, 2018, Microsoft Research Cambridge, UK
Oct 19, 2017, Boston Children’s Hospital, Harvard Medical School
Sep 21, 2017, NYU, Courant Institute of Mathematical Science, Lunch Seminar Series
Sep 18, 2017, MIT, CSAIL Biomedical Imaging and Analysis Seminar Series
Sep 11, 2017, MICCAI, Oral Presentation