University of Alberta

University of Florida

Founder  -  -  Frontier Bio

San Francisco, California, United States

- Designed and built all aspects (mechanical, electrical, software) of the bioprinter for the first 2 years, then managed a team of engineers• Created innovative bioprinter features not possible or never-before implemented in other bioprinters such as:- - Automatic PSI Calibration based on machine vision. This prevented many failed prints and saved the user from wasted time and frustration- - Able to print up to 24 materials in a single print. Other low-cost bioprinters could do up to 2 materials at that time, but with only one bioprinting method (eg. pneumatic)- - Able to print using many methods including pneumatic, microvalve, FDM, inkjet, laser, and custom tools, all within the same print. - - Low-cost - $9k whereas the competition sold theirs for up to $254k.- - Innovative cleaning station, and automatic “true” mechanical stage leveling.- - Automatic precision XY offset calibration from low-cost components, saving the user hours of frustration• Aether created collaborations with more than 20 institutions across the globe including Cambridge, Stanford, McGill, University of South Australia, CSIC, National University of Singapore, McMaster, Tufts, University of Waterloo, etc...• Created custom PCBs, designed parts in 3D CAD for 3D printing and CNC machining, created scripts and an easy-to-use GUI in Python and Matlab, programmed the printer in C/C++, familiar with the 3D printing workflow (3D CAD design, slicing, post-processing, and printing)

Aether

- Built an “auto-patcher” device to automate the setup of single-neuron patch-clamp measurements• Created algorithms for analysis of various neurological signals to identify seizure-like activity• Set the lab up for open and closed-loop optogenetics experiments in vitro and in vivo

Gladstone Institutes

Research Associate

- Used SolidWorks to design and 3D-print easy-to-use, inexpensive neural headsets• Designed and assembled a real-time brain-machine interface control system• Wrote real-time, closed-loop seizure detection and suppression algorithms• Performed neural surgery for gene therapy and brain machine interface installation• Designed a genetic construct for gene therapy to specifically target inhibitory neurons• Proposed a method of accelerating brain-machine interface learning using electrodes and optogenetic stimulation

Research Assistant

Taught undergraduate labs for introductory circuit design.

Teaching Assistant

Competed twice in the annual International Genetic Engineered Machines (iGEM) competition held at MIT- Developed a novel DNA assembly technique using paramagnetic beads- Designed microfluidic chips for fast, modular, automated DNA assembly- Created optimization algorithms to model the minimal metabolic E. coli genome- Won "Best Foundational Advance" Award and 2 gold medals

Eric Bennett