Jared Floersch Email & Phone Number

Minneapolis, Minnesota, United States

○ Lead research and development on cutting-edge mechatronic and robotic products through NIH-funded SBIR grants as the team’s primary mechanical and control systems expert.○ Independently invented a novel electromechanical ankle actuator for an adaptive-terrain version of the EksoNR exoskeleton. Created dynamic control system simulations in Python and MATLAB to investigate system stability and inform design requirements. Created detailed CAD models in Solidworks, manufactured prototypes, and evaluated them in a laboratory setting.○ Developed embedded foot pressure sensor for estimating exoskeleton wearer’s center of pressure in real-time. This data allowed the ankle’s control loop to be closed directly around the center of pressure progression to maximize adaptability and improve gait phase estimation. Prototyped different sensor configurations to maximize dynamic range, minimize overall size, and allow for replacement in the field.○ Designed anatomically accurate mannequin simulators of human joints for training physical therapists and combat medics in musculoskeletal injury diagnosis. Created the most physiologically accurate model of simulated human joints on the market, capable of simulating injuries to the rotator cuff, labrum, and knee ligaments with great accuracy. Invented novel tensioning mechanism to simulate injury and actively drive motion of muscles in an anatomically accurate manner. Designed and integrated with compact sensors to give real-time pose estimate of mannequin and provide live feedback on the user’s assessment accuracy. Developed initial firmware for prototypes on a Nordic nRF52840 in C++, wrote desktop applications in Python to interface with hardware and log data.

Minneapolis, Minnesota

○ Collaborated with leading researchers in pediatrics to increase equitable access to healthcare by inventing innovative low-cost medical devices for use in low-to-middle income countries.○ Designed a first-of-its-kind bubble CPAP-compatible oxygen blender that can be assembled on-site using readily available hospital supplies. This device has been tested in rural Cambodia and has been shown to effectively replace expensive oxygenators in treating children with pneumonia. Published papers on the design, efficacy of healthcare providers building the devices, and clinical results.○ Created a low-cost humidifier that is 50 times cheaper than the gold-standard device. Lead the mechanical, electrical, and firmware design of the device. Managed team of three undergraduate research assistants during the design and evaluation of prototypes.

St Paul, Minnesota, United States

○ Worked in a startup-like environment to develop Cephea - one of the world’s first transcatheter and transseptal mitral valve replacements. Major contributor in prototyping preclinical prosthetic valve designs to optimize for durability, anchoring, hydrodynamic performance, and manufacturability.○ Investigated inherent issues in mitral valve fluid dynamic evaluation. Wrote Monte Carlo simulation in MATLAB to characterize the problem and published the results with my colleagues in Cardiovascular Engineering Technology, which has been cited in a textbook on heart valve design.○ Created solutions to difficult fatigue-driven failure modes. Prototypes using these designs were proven very successful in animal studies and clinical trials, leading to two patent applications.○ Heavily utilized MATLAB to solve difficult problems in heart valve research and development. Created image processing pipelines to analyze high-speed video of heart valve prototypes, allowing for data-driven decision making in durability and performance. Developed 3D device deployment simulations in MATLAB to predict optimal catheter trajectories. Techniques that were invented with these learnings have been successfully used in human implants.

St Paul, Minnesota, United States

Minneapolis, Minnesota

Developed a glove-mounted device to intuitively control a robotic arm through the use of point-and-follow control, utilizing an in-palm accelerometer and computer vision system. Derived a novel pose estimation algorithm using a fusion of information from these two sensors to calculate the desired set point in the robotic arm’s coordinate frame. Implemented algorithm on a Raspberry Pi Zero W using OpenCV for image processing, presented results at the IFAC Modeling, Estimation, and Control Conference in 2021.

Master Of Science - Ms, Mechanical Engineering

GPA: 4.0

Bachelor Of Science - Bs, Mechanical Engineering

GPA: 3.5