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Summary Master of Science UCLA graduate specializing in the field of signal processing,
machine learning, data science and medical imaging. My research in Neuro-
engineering and my work experience have both cultivated the analytical ability and
technical skill to analyze data in a variety of domains including social media data,
sensor array signal and medical images. Lastly, my attentive awareness of
people’s needs and my natural talent as a communicator have allowed me to
thrive as a leader in both a relational context and in engineering projects.
Core
Competencies
 Signal processing
 Machine learning
 Computational modeling
 Mobile development
 Programming
 Medical imaging
 Neuroscience
 Physiology
 Personal mentorship
 Communication and
teaching
Education M.S. Biomedical Engineering at UCLA Fall 2015 – Spring 2016
Graduated Suma Cum Laude with concentration Neuro-engineering
B.S. Bioengineering at UCLA Fall 2011 – Spring 2015
Graduate Cum Laude with concentration in medical devices
Research
Experience
Lead Undergraduate Researcher: Dr. Liu Lab Spring 2013 – Spring 2015
ï‚• Team lead in creating wireless, implantable prosthetic device for spinal cord
stimulation and recording. Solutions included: implantable electrode, class E amplifier,
MCU controller and Android tablet application
ï‚• Sole employee responsible for all computational modeling for a lab team of 12 with
COMSOL Multiphysics
ï‚• Invented new electrophysiological mapping system with a micro-precision 3D
motor/sensor using LabVIEW
ï‚• Drafted custom PCBs in accordance with industry design rules for use in implantable
neural prosthetics
ï‚• Created and published innovative virtual electrode paradigm for use in broad spectrum
of medical devices to overcome hardware limitations
Undergraduate Researcher: Dr. Glanzman Lab Summer 2014
ï‚• Took initiative to learn extraction, and culturing of single neurons from Aplysia for
application in Dr. Liu Lab
Undergraduate Researcher: Dr. Ho Lab Winter 2012 – Spring 2013
ï‚• Used metabolic insights from spectroscopic analysis to optimize biofuel production in
algae
Trevor Davis
BiomedicalEngineer/Data Scientist
413 Veteran Avenue Los Angeles, CA 90024
sdtrevordavis@gmail.com • www.linkedin.com/in/trevoredavis • 858 – 449 – 7669
Work/Volunteer
Experience
Graduate Teaching Assistant: UCLA, Los Angeles, CA Fall 2015 – Spring 2016
ï‚• Revamped old curriculum with original, effective lesson plans and teaching methods
ï‚• Managed class of over 20 students each quarter through directing weekly 3-hour
discussion section
Signal Processing Intern: Leidos, San Diego, CA Summer 2015
ï‚• Constructed state-of-the-art RF signal tracker using independent components
analysis, and Kalman tracking of direction of arrival estimations for 1 to 10 separate
real or complex signals in MATLAB
ï‚• Translated RF signal tracker into machine language algorithm for 14 bit and 1 bit ADC
for product fabrication
Summer Mission Team Leader: Cru Global, Tokyo, Japan Summer 2015
ï‚• Planned and directed a 6 week trip in Japan for 10 college students for religious and
cultural exposure including all budgeting, housing and team activities
ï‚• Mentored 4 teammates to develop their personal emotional and spiritual maturity
Volunteer Leader: Cru Global, UCLA Fall 2011 – Spring 2016
ï‚• Liaison between students and staff in Cru responsible for vision casting and assessing
the health of a movement of 300 students
ï‚• Mentored 6 students to develop leadership qualities and was speaker for the weekly
meeting
Publicationsand
Awards
Senior Capstone: Best Research Tool Winter 2015
ï‚• Team lead in creating three-part neural prosthetic involving Android tablet, MCU
controller, class E amplifier and wireless data telemetry used for spinal cord
stimulation to re-enable paraplegics to walk again
ICBBBE Conference Publication Summer 2014
ï‚• Davis, Trevor; Cassar, Isaac; Lo, Yi-Kai; Liu, Wentai. (2014). 'Bio-Heat Transfer in
Various Transcutaneous Stimulation Models'. International Journal of Medical, Health,
Pharmaceutical and Biomedical Engineering
ICBBBE Conference Publication Summer 2014
ï‚• Cassar, Isaac; Davis, Trevor; Lo, Yi-Kai; Liu, Wentai. (2014). 'A Virtual Electrode
through Summation of Time Offset Pulses'. International Journal of Medical, Health,
Pharmaceutical and Biomedical Engineering
TechnicalSkills Computer Languages/Programs
ï‚• CLAD Certified
LabVIEW Developer
ï‚• MATLAB/Simulink
ï‚• COMSOL Multiphysics
(CAD Modelling)
ï‚• C++/O.O.P.
ï‚• Java
ï‚• XML
ï‚• Excel
ï‚• PCB Design
ï‚• VisSim
ï‚• SAAM II
Lab Techniques
ï‚• Cell culture
ï‚• Neuron extraction
ï‚• Cell activity assays
ï‚• Protein assays
ï‚• Protein coating
ï‚• Bioconjugation
ï‚• Spectroscopy
ï‚• Soldering

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2pg Biomedical Eng Resume - Trevor Davis

  • 1. Summary Master of Science UCLA graduate specializing in the field of signal processing, machine learning, data science and medical imaging. My research in Neuro- engineering and my work experience have both cultivated the analytical ability and technical skill to analyze data in a variety of domains including social media data, sensor array signal and medical images. Lastly, my attentive awareness of people’s needs and my natural talent as a communicator have allowed me to thrive as a leader in both a relational context and in engineering projects. Core Competencies  Signal processing  Machine learning  Computational modeling  Mobile development  Programming  Medical imaging  Neuroscience  Physiology  Personal mentorship  Communication and teaching Education M.S. Biomedical Engineering at UCLA Fall 2015 – Spring 2016 Graduated Suma Cum Laude with concentration Neuro-engineering B.S. Bioengineering at UCLA Fall 2011 – Spring 2015 Graduate Cum Laude with concentration in medical devices Research Experience Lead Undergraduate Researcher: Dr. Liu Lab Spring 2013 – Spring 2015 ï‚• Team lead in creating wireless, implantable prosthetic device for spinal cord stimulation and recording. Solutions included: implantable electrode, class E amplifier, MCU controller and Android tablet application ï‚• Sole employee responsible for all computational modeling for a lab team of 12 with COMSOL Multiphysics ï‚• Invented new electrophysiological mapping system with a micro-precision 3D motor/sensor using LabVIEW ï‚• Drafted custom PCBs in accordance with industry design rules for use in implantable neural prosthetics ï‚• Created and published innovative virtual electrode paradigm for use in broad spectrum of medical devices to overcome hardware limitations Undergraduate Researcher: Dr. Glanzman Lab Summer 2014 ï‚• Took initiative to learn extraction, and culturing of single neurons from Aplysia for application in Dr. Liu Lab Undergraduate Researcher: Dr. Ho Lab Winter 2012 – Spring 2013 ï‚• Used metabolic insights from spectroscopic analysis to optimize biofuel production in algae Trevor Davis BiomedicalEngineer/Data Scientist 413 Veteran Avenue Los Angeles, CA 90024 sdtrevordavis@gmail.com • www.linkedin.com/in/trevoredavis • 858 – 449 – 7669
  • 2. Work/Volunteer Experience Graduate Teaching Assistant: UCLA, Los Angeles, CA Fall 2015 – Spring 2016 ï‚• Revamped old curriculum with original, effective lesson plans and teaching methods ï‚• Managed class of over 20 students each quarter through directing weekly 3-hour discussion section Signal Processing Intern: Leidos, San Diego, CA Summer 2015 ï‚• Constructed state-of-the-art RF signal tracker using independent components analysis, and Kalman tracking of direction of arrival estimations for 1 to 10 separate real or complex signals in MATLAB ï‚• Translated RF signal tracker into machine language algorithm for 14 bit and 1 bit ADC for product fabrication Summer Mission Team Leader: Cru Global, Tokyo, Japan Summer 2015 ï‚• Planned and directed a 6 week trip in Japan for 10 college students for religious and cultural exposure including all budgeting, housing and team activities ï‚• Mentored 4 teammates to develop their personal emotional and spiritual maturity Volunteer Leader: Cru Global, UCLA Fall 2011 – Spring 2016 ï‚• Liaison between students and staff in Cru responsible for vision casting and assessing the health of a movement of 300 students ï‚• Mentored 6 students to develop leadership qualities and was speaker for the weekly meeting Publicationsand Awards Senior Capstone: Best Research Tool Winter 2015 ï‚• Team lead in creating three-part neural prosthetic involving Android tablet, MCU controller, class E amplifier and wireless data telemetry used for spinal cord stimulation to re-enable paraplegics to walk again ICBBBE Conference Publication Summer 2014 ï‚• Davis, Trevor; Cassar, Isaac; Lo, Yi-Kai; Liu, Wentai. (2014). 'Bio-Heat Transfer in Various Transcutaneous Stimulation Models'. International Journal of Medical, Health, Pharmaceutical and Biomedical Engineering ICBBBE Conference Publication Summer 2014 ï‚• Cassar, Isaac; Davis, Trevor; Lo, Yi-Kai; Liu, Wentai. (2014). 'A Virtual Electrode through Summation of Time Offset Pulses'. International Journal of Medical, Health, Pharmaceutical and Biomedical Engineering TechnicalSkills Computer Languages/Programs ï‚• CLAD Certified LabVIEW Developer ï‚• MATLAB/Simulink ï‚• COMSOL Multiphysics (CAD Modelling) ï‚• C++/O.O.P. ï‚• Java ï‚• XML ï‚• Excel ï‚• PCB Design ï‚• VisSim ï‚• SAAM II Lab Techniques ï‚• Cell culture ï‚• Neuron extraction ï‚• Cell activity assays ï‚• Protein assays ï‚• Protein coating ï‚• Bioconjugation ï‚• Spectroscopy ï‚• Soldering