Matthew Phillips Email & Phone Number

Minneapolis, MN, US

Boston, Massachusetts, US

I lead the Deep Learning Research team at Elucid. We develop machine learning algorithms to interpret and understand processed computed tomography (CT) images of vasculature, coronary and carotid arteries in particular. We create, train, and deploy these models on our multi-GPU cluster. Our work in classifying vessel cross sections by pathology was.

Boston, Massachusetts, US

I build systems to solve problems in Computer Vision, NLP, and Signal Processing, as well as models of complex data sets in healthcare and other domains. I use modern Deep Learning technologies and AWS cloud services to accomplish this, along with traditional 'shallow' ML methods, optimization, and highly performant C++ code.Past projects:- Developed.

Indianapolis, IN, US

I created machine learning algorithms which address core problems in health care and wellness. One key project included using document denoising and text-based document classification for better understanding of electronic healthcare records (EHRs) (see link below). Additional projects included the use genomic data to determine tumor site-of-origin, and.

Clifton Park, New York, US

I developed Machine Learning and Computer Vision algorithms. Projects included the AFRL VIGILANT project, for which I used deep neural networks to perform supervised and unsupervised classification of satellite imagery (presented at the MSS Joint Conference Oct. 2018); a NASA SBIR grant on land cover classification where I was Kitware's technical lead.

Tempe, Arizona, US

I developed software which ran the manufacturing process for Invisalign aligners. This was mostly in C++ but we also used some Python for testing and data visualization. Work included the creation and implementation of algorithms from computational geometry, optimization, and system design and architecture, as well as unit and functional testing. On the.

Developing software applications in C++ for the biomedical industry. I was a senior developer on a large-scale project in the medical devices space, where developed and implemented algorithms for user input recognition, began construction of the GUI, and integrated these with the middleware.

Computational modeling in the lab of Stephen Lisberger, Department of Neurobiology. We are studying information processing in the cerebellum, specifically the significance of synchrony in Purkinje-Cell simple spikes. Initial results from this work have been presented at the Society for Neuroscience meeting, 2014.

New York, NY, US

Single-unit primate electrophysiology in the lab of Michael Goldberg, Department of Neuroscience. We studied the relationship between eye movements and the representation of visual space in primate parietal cortex. We also addressed these questions with monkey and human psychophysics, in the latter case including normal and patient populations. This.

New York, US

Oculomotor and visual psychophysics, specializing in visual search, in the lab of Jay Edelman. We monitored eye movements with a video eye tracker.

Post-Doctoral Fellowship, Neuroscience

Bachelor'S Degree, Philosophy/Mathematics Double-Major

Machine Learning

Doctor Of Philosophy (Ph.D.), Philosophy, Cognitive Science