Contributors from the past 7 days

I joined The MathWorks in the Technical Support department during the summer of 2001 and transferred into the Quality Engineering department in March of 2004. I now work qualifying the core MATLAB numerical functions (PLUS, MINUS, LU, FFT, ODE45, etc.) Professional Interests: mathematics, MATLAB For assistance with MATLAB question please post to MATLAB Answers or contact Technical Support using the Contact Us link in the upper-right corner of the page instead of contacting me directly.

Rob Comer is the Mapping Toolbox(TM) development lead at The MathWorks, Inc.

Professional Interests: software engineering, geodesy and geophysics, photogrammetry and image processing, geographic information systems

I am a MathWorks Student Competition Technical Evangelist with a specialization in Communication Systems and an interest in Embedded Systems.

Left to right: Bowen Kerins, Matthew Simoneau, Kevin Ezernieks, Ned Gulley, Michael Thomas, and Min Poh. Not pictured: Lucio Cetto.

http://www.mathworks.com/contest/

Professional Interests: parallel computing, geophysics

I am working at The MathWorks as an Senior Application engineer in the Finance application area. My main focus are optimization, calibration, an simulation, applied in the Quantitative Finance
Professional Interests: Finance

Developer for the MATLAB Unit Test Framework, since 2015.
Quality Engineer for the GUI-Building Team, 2012-2015.

Professional Interests: Software Architecture, Data Structures, Performance

Application Engineer at The MathWorks
Professional Interests: Test and Measurement

Professional Interests: Statistics, Machine Learning, Data Analysis

Technical Marketing Engineer at MathWorks. Medical Electronics, Robotics, and a Control Theory enthusiast!

Interests:
Machine Learning
Parallel Computing
Neuroscience
Geographic Information Processing

DISCLAIMER: Any advice or opinions posted here are my own, and in no way reflect that of MathWorks.

As a Product Marketing Manager at MathWorks, I currently drive the business and product strategy for Aerospace Toolbox and Aerospace Blockset, including its new CubeSat Simulation Library. I have also continued supporting Simulink built-in hardware support and drove the launch of Embedded Coder support for PX4 autopilots. Built on top of the Simulink platform, I make sure that MathWorks' technologies address the most prominent market problems and bring industry and domain-specific functionality for modeling, simulation, and automatic code generation. I work closely with the Development organization, Application Engineering, other Marketing groups and Sales to help define product direction and deliver various product and application-related projects.

I am an engineer at Mathworks working on the Computer Vision System Toolbox.

I'm an Application Support Engineer at MathWorks. I studied Mechanical Engineering, concentrating in Controls, at MIT and Boston University.

Medical Devices Industry Manager
ex-Technical Marketing Manager, and Field Application Engineer (Embedded Signal/Video Processing, Code Generation),
The MathWorks
Professional Interests: Medical Devices, Signal/Video Processing, Computer Vision, DSP Hardware, Audio algorithms, medical imaging, patient monitoring, regulations/safety standards, and more...

Mike has a B.S.E. in Mechanical and Aerospace Engineering from Princeton University with a Certificate in Robotics and Intelligent Systems. Mike also has an M.S. in Aerospace Engineering from UCLA, concentrating in Systems and Controls. Mike has worked for both Northrop Grumman and Raytheon as a GNC Engineer. Mike joined The MathWorks as an Application Engineer in October, 2007.
Professional Interests: controls, V&V, large-scale modeling, DO certification, code-generation, UAVs

I am a developer on the Wavelet Toolbox at MathWorks

DISCLAIMER: Any advice or opinions posted here are my own, and in no way reflect that of MathWorks.
Professional Interests: Signal Processing

Developer at MathWorks, working on Parallel Computing Toolbox. Professional Interests: parallel computing, distributed arrays, gpu