1. Jackson Lee Cavett
Current Address: 1015 W. St. James Street, Apartment 1
jcavett@mail.bradley.edu
309-313-5222
Education
Bradley University, Peoria, IL
• Bachelor of Science in Mechanical Engineering, expected graduation: May 2017
• Major GPA: 4.00/4.00
• Overall GPA: 3.95/4.00
• All Semesters on the Dean's List; Member of Honors Program
Macomb High School, Macomb, IL
• GPA: 4.033/4.000
• Academic All-State Award Winner; Illinois State Scholar
Relevant Coursework
• Design of Machine Elements
• Thermodynamics
• Technical Writing
• Mechanical Control Systems
Work Experience
Bradley University Engineering Department, Peoria, IL
Teaching Assistant, January 2015-Present
• Aid student learning of AutoCAD and ProE software
• Grade AutoCAD and ProE assignments as well as hand-drawn work
Bradley University Mechanical Engineering Department, Peoria, IL
Undergraduate Research Assistant, January 2014-Present
• Researching protein-cell interactions as well as cell adhesion in stem cells
• Working with NAMD software simulating Steered Molecular Dynamics
Horn Field Campus, Western Illinois University, Macomb, IL
Facilitator, May 2010-August 2014
• Led team building activities with groups of students, Residential Advisors, etc.
• Supervised and ensured safety on the High Ropes Course and Climbing Tower
Research, Leadership and Volunteer Experience/Campus Involvement
Undergraduate Research Assistant, Bradley University Mechanical and Electrical Engineering
Departments, January 2016-Present
• Assist professors in thermal lab working with electrical and mechanical systems
• Use Engineering Equation Solver in HVAC simulation
Ultimate Frisbee Team Captain, Bradley University, 2013-Present
• Leading team practices and scheduling tournaments
• Tournament Director for ten-team home tournament and summer tournament
• Coordinating team events and recruiting new members
Undergraduate Research Assistant, Illinois Neurological Institute, Current
• Diagnosing/Analyzing freezing of gait episodes in Parkinson's patients
• Assessing visual and mechanical cues that resolve FOG episodes

2. • Using Matlab and Biopac software to quantify accelerometer data