Quantifying the 3D motion and dynamics of rigid bodies through physics-based algorithms
Fast and inexpensive fabrication of solutions via 3D CAD, 3D printing/cnc milling, and progamming microcontrollers.
Translation of biomedical signals into understandable 3D graphical representations
Extensive experience quantify human motion with the use of motion capture, instrumented forceplates, EMG, wearables, computation MR imaging, and computer modeling using high-speed dual fluoroscopy.
Developed software in C and MATLAB responsible for the estimation of joint kinematics, joint dynamics, contact locations, and cartilage thickness maps using 3D subject specific surface models of human tissues. Implentation of pointcloud estimations, image processing, and 3D rigid body transformations.
Considerable experience in taking an idea and bringing it to life. Namely the execution of designing (CAD), Manufacturing (additive and subtractive), and Programming microcontrollers
Managed the Muskuloskelatal Imaging and Orthopedic Biomechanics lab including the mentoring of an army of undergraduate and graduate students.
Former collegiate varsity football player.
Most importantly... was a supervisor at a brewery and former supervisor of a RoastBeef Deli.
Spring 2023 to present
University of Vermont
Expected completion: Spring 2023
Muskuloskelatal Imaging and Orthopedic Biomechanics lab
Graduate Research Assistant (NIH Funded)
Rennselaer Polytechnical Institute
2014-2018
Concentration in Material Science
GPA: 3.74/4.0
2017 Rensselaer Founders Award of Excellence
2017 Capital District Chapter of the National Football Foundation & Hall of Fame Scholar Football Athlete Award