1st Place Capstone Team: Kyle King, Dakota Katz, Patricia Barton, Kenny Ke, and Divya Jain

Kyle King

I am a Software Engineer at Meso Scale Diagnostics where I apply my Python, Engineering, and leadership experience.

Previously an Undergraduate Research Fellow at the Maryland MEMS and Microfluidics Lab, a Research and Development Intern at Canon US Life Sciences, and a Full Stack Developer and Team Liaison for Team B.I.K.E.S.

I am always interested in expanding my skills and network. Please feel free to connect with me on email, connect on LinkedIn, follow me on Github, or view my resume.


Meso Scale Diagnostics

Software Engineer II, Instrument R&D (2020 - Present)

Meso Scale Diagnostics

Systems Engineer I (2016 - 2020)

UMD MEMs and Microfluidics Lab

Undergraduate Research Fellow (2013 - 2016)

Canon US Life Sciences

Research and Development Intern (2015)


Student Fellow (2011 - 2014)

DasSarma Laboratory

Student Researcher (2013)



Raspberry Pi Alarm Clock (~2017)

Gemstone Team B.I.K.E.S.

Stationless Bikeshare Team Research Project (2012-2016)

Senior Capstone

Pediatric MRI Distraction Device (2015-2016)


Raspberry Pi PhotoFrame (2016)

3D Printing

Rapid prototyping side-projects


4K for Cancer

Team Mechanic (2013-2014)

Eagle Scout

Boy Scout Troop 792, Baltimore, MD (2005-2012)

Maryland Zoo in Baltimore

Junior Keeper (2008 - 2011)

Canon US Life Sciences


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The Canon US Life Sciences internship program pairs an intern with a mentor to focus on unique projects that generate new intellectual property. For my project over the summer of 2015, I prototyped a novel technique to concentrate large sample volumes within a microfluidic consumable. One of the main issues with microfluidic technology is the reliance on small sample volumes which may not be representative of the patient's system. When a biomarker occurs only in low concentrations, a small sample volume has the statistical potential to emit or concentrate the target biomarker leading to an incorrect diagnosis. The concept device concentrates large samples up to 1 ml into small volumes that are optimal for microfluidic processing. Canon is currently protecting the technology as a trade secret during development with plans of patenting the technology.


  • Designed and automated a prototype mechatronic system
  • Conducted data analysis and developed image processing routines with MATLAB
  • Designed components in SolidWorks and underwent design reviews before sending drawings out to a 3rd party supplier
  • Utilized a full machine shop, laser cutter, Roland CNC milling machine, and Formlabs SLA printer to quickly iterate over multiple prototypes
  • Conducted market research including review of 510(K) submissions
  • Filed an internal invention disclosure