DAQifi was born, as with most inventions, out of necessity. Data acquisition is commonplace in most engineering, scientific, and academic environments. However, most of these systems have limited capability or high cost. They generally require separate software purchases and dedicated computers to collect data. Moreover, many data acquisition systems still require the user to learn proprietary programming languages.
After extensive experience in engineering/scientific environments at universities and engineering companies, the founders of DAQifi observed most users were spending excessive time configuring and programming their data acquisition devices. This detracted from their main goal: collect and analyze data essential to the task at hand. The founders of DAQifi envisioned a better solution: modular, portable data acquisition with flexible wireless connectivity. The features in the new Nyquist line of data acquisition devices were intended to provide anyone with the ability to easily collect the data they need without wasting time learning the intricacies of data collection setup and software. This quest is DAQifi's main objective and we continue to design products which meld high capability and ease of use with competitive pricing.
Christopher holds his BS and MSc degree in Electrical Engineering from the Colorado School of Mines. Christopher's master's thesis involved extensive electrical and optical sensing of cold plasma for materials processing.
Christopher leads business development, applications engineering and the technical development aspects of the company.
He has over 18 years of electronics and microcontroller programming experience including robotics, industrial automation, commercial packaging, and data acquisition.
His strengths are found in schematic design, capture, and PCB development. Christopher oversees in-house PCB prototyping and small batch builds.
Chris received his BS in Engineering Physics and MSc in Electrical Engineering from the Colorado School of Mines.
Chris' master's thesis was directly tied to strain measurement using strain gauges/load cells and ultra low-noise amplification techniques.
Chris is responsible for the board level design and layout as well as documentation.
Nathan graduated from the Colorado School of Mines with an Electrical Engineering degree. Nathan has extensive experience in the commercial power industry as well as a robotics background.
Nathan's main role within the company is to manage the administrative functions of the business.
Daniel is a developer with a passion for creating engineering software. He has over 8 years of professional experience developing software, and is proficient in a wide range of programming languages including C, C++, C# and Java.
In his career, he worked on a wide variety of projects ranging from desktop-based hydraulics and hydrology modeling software to embedded robotics projects geared towards space exploration.
Daniel develops and maintains DAQifi's device firmware.
Tyler holds a BS in Computer Engineering and an MS in Systems Engineering from Colorado State University. He has 8 years of software development experience in a plethora of languages and platforms.
He specializes in .NET application development. His portfolio includes projects for broadcast, data acquisition, defense, and robotic industries. He is a big believer in Lean Software Development ideologies.
Marc is a web and mobile expert and the Android lead at DAQifi. He is a senior software engineer, software language polyglot, an amateur rock star and American whiskey aficionado.
Prior to DAQifi, Marc began his engineering career at NIST hacking RFID technology followed by several years working on large-scale enterprise systems for the DoD and various intelligence agencies while at Lockheed Martin as a senior software engineer. Marc currently also works on a popular consumer mapping web site.
Marc graduated from the Colorado School of Mines with a BS in Engineering Physics and a minor in Mathematics. In 2012, Marc graduated from the University of Denver with a Masters of Science in Computer Science.