720-370-9012
1021 Main Street, Louisville, CO 80027
"Aeris provides exposure to interesting problem spaces and allows me to work on applications that change lives."
Kyle Reinholt
Software Developer I
Mr. Reinholt received a B.S. in Computer Science/Mathematics from Concord University in 2017. Along with being an IT Assistant for the university, he has worked on research projects in particle physics, computer science education, and research ethics. Mr. Reinholt received an M.S. in Computer Science from the University of Colorado at Boulder in 2020. Where he worked in the Superhuman Computing Lab empowering people through technology. His experience has helped him establish a strong foundation for IT Systems and Software Development.
From 2017-2019, he worked with the Superhuman Computing Lab at CU to develop an application that created accessible artwork. He developed a method using eye-tracking and natural language processing to automatically embed accessible content into artwork for exploration by people who are blind or visually impaired. To display this content in an accessible format involved programming gestures for a touch screen application in C# and utilizing big data analytics.
In 2020, he worked on information visualization and interface design for a density monitoring application with the Layer Lab at the University of Colorado at Boulder. Utilizing data from access points across campus, estimates of building and floor level occupancies could be derived. Policymakers and building administrators used these interfaces to monitor behavior in dorms and other hotspots during the COVID-19 pandemic.
Concurrently in 2020, he worked with the Larremore Lab to make a web interface to run simulations for a vaccine allocation project. This project utilized contact matrices of different age groups in a country to predict the impact of allocating vaccines by age (in that country). The simulations were written in R and the user interface in RShiny. Using resources from cluster computing, all the simulation inputs for each country were cached so that the user of the system could focus on the outputs of the system rather than waiting for simulations to run.
Near the end of 2020, he accepted a position as a Software Developer for Aeris.
Kyle Reinholt
Software Developer I
Mr. Reinholt received a B.S. in Computer Science/Mathematics from Concord University in 2017. Along with being an IT Assistant for the university, he has worked on research projects in particle physics, computer science education, and research ethics. Mr. Reinholt received an M.S. in Computer Science from the University of Colorado at Boulder in 2020. Where he worked in the Superhuman Computing Lab empowering people through technology. His experience has helped him establish a strong foundation for IT Systems and Software Development.
From 2017-2019, he worked with the Superhuman Computing Lab at CU to develop an application that created accessible artwork. He developed a method using eye-tracking and natural language processing to automatically embed accessible content into artwork for exploration by people who are blind or visually impaired. To display this content in an accessible format involved programming gestures for a touch screen application in C# and utilizing big data analytics.
In 2020, he worked on information visualization and interface design for a density monitoring application with the Layer Lab at the University of Colorado at Boulder. Utilizing data from access points across campus, estimates of building and floor level occupancies could be derived. Policymakers and building administrators used these interfaces to monitor behavior in dorms and other hotspots during the COVID-19 pandemic.
Concurrently in 2020, he worked with the Larremore Lab to make a web interface to run simulations for a vaccine allocation project. This project utilized contact matrices of different age groups in a country to predict the impact of allocating vaccines by age (in that country). The simulations were written in R and the user interface in RShiny. Using resources from cluster computing, all the simulation inputs for each country were cached so that the user of the system could focus on the outputs of the system rather than waiting for simulations to run.
Near the end of 2020, he accepted a position as a Software Developer for Aeris.
"Aeris provides exposure to interesting problem spaces and allows me to work on applications that change lives.”
