Ph.D. (Computer Science)

B.S. (Computer Systems Technology)

Teaching Assistant Professor

• Primary responsibilities include teaching and advising students, as well as service to the department/university, involvement with student organizations, outreach to the community, and research.
• Co-Director of the Advancing Learning and Teaching Computer Science (ALT+CS) Lab - Manage and conduct computer science education research, outreach to the Kansas community, and support students in pursuing computer science education.

Graduate Research Assistant

• CSUSM subaward (2017) – This subaward is to extend the Data Explorer on physport.org to allow educators to create and analyze custom assessments. This will provide an easy to use interface to let researchers to examine their experimental assessments and allow departments to input and share data about their classes.
• Capability Inference based on Dynamic Topic Modeling and Text Information Extraction (2016 – 2017) – Co-system architect with responsibilities such as system design, data extraction, modeling, and integration, as well as training and supervising undergraduate researchers in machine learning and text analytics for a project funded through Lawrence Livermore National Laboratories.
• NSF WIDER (2013 – 2016) – Lead developer and in charge of supervising and training undergraduate researchers for a web application known as the Data Explorer with the American Association for Physics Teachers (AAPT). The Data Explorer is an analytics portal that gives educators the ability to gain insights from assessment data, using online information retrieval and visualization through a federated display. This creates a streamlined process for users to upload assessment data to explore. The overall objective of this project is to let educators from all levels (high school, undergraduate, graduate, etc.) to interact with their data and anonymous summaries of data from other instructors in a usable, efficient, and secure way that has previously been a tedious, and sometimes impossible, task. The focus of this research is to facilitate importing, validating, integrating, and visualizing assessment data. This will be expanded for custom assessments, as well as other academic areas, such as computer science, in the future.
• Sandia National Lab (2012) – Worked closely with Dr. Mitch Neilsen to create cross platform installers for software created as a collaboration with Sandia National Labs.

Graduate Teaching Assistant

Primary responsibilities included holding office hours, grading, lecturing, and supervising laboratories. Courses taught include: CIS 102-104 (spreadsheet, word, and database applications), CIS 200 (programming fundamentals), and CIS 415 (ethics and computing technology).

Writing Center Tutor

Provided tutoring services to students in need of help with writing essays, research papers, cover letters, resumes, and other documents

Technology Intern

Worked as a computer intern in the CRCL (Corporate Regulatory Certification Laboratory). Deployed and developed a Microsoft Silverlight web application. Researched to improve software systems used by the CRCL.

CIS 115 - Introduction to Computing Technology

A survey of the discipline of Computing Science and its interaction with other disciplines, incorporating historical development, theories, and tools of Computing Science (algorithm design and programming). Topics include: mechanical computers, digital computers, big data, AI, robotics, security, scientific computing, simulation, and web technologies. Students also learn Python as part of this course to reinforce the previously mentioned topics.

CIS 308 - C Programming Laboratory

A lab-based course focused on teaching the C programming language. Topics include arrays, pointers, dynamic memory, structs, and other fundamental concepts of the C language.

CC 520 - Database fundamentals

Introduction to SQL databases for non-cs majors. Concepts, approaches, and techniques in database management. Representation of information as data, data storage techniques, foundations of logical data models, data retrieval, database design, transaction management, integrity and security.

CIS 640 - Software Testing Techniques

Survey of software testing methodologies; evaluation of software testing strategies; experience in a variety of software testing practices.

STEM Summer Institute

Planned and taught programming courses to 5th-9th grade students. These courses range in theme, including introduction to Scratch programming, artificial intelligence, game design, and micro controllers. Lesson are aimed to give young students an introduction to programming and other technology, as well as get them interested in pursuing a STEM- field.

Girl Scouts of the USA

Created and planned a three-hour workshop for junior girl scouts to learn about artificial intelligence. Scouts learned the basics in translating simple human intelligence into computer controlled sprite, how artificial neural networks operate, and how supercomputing clusters operate. This workshop relied heavily on the Scratch programming language and CS unplugged activities.

K-State Codes – Introduction to Python

Develop and instruct an accelerated course on Python programming. This course is a free, non-credit course open to all students and faculty of K-State. This course aims to teach fundamental programming concepts and syntax in the Python language.

Insight GK12

Develop and deliver technology and engineering lessons at the K-12 level. Lessons include, but are not limited to sensors, Lego NXT robots, Scratch programming, Wii remotes, and Kinect sensors. A goal of this program is to expose students, particularly from rural areas, to engineering and various technologies.

Computer Science Teachers Association

Kansas Chapter 

Association for Computing Machinery - SIGCSE

American Society for Engineering Education

Computer Science for All Consortium

Research Member 

Kevin and Jacquie Elmore - Carl and Mary Ice Teaching Scholar

College of Engineering Team Award of Excellence

Kansas State Research Forum - 2nd place