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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
 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
 Sole employee responsible for all computational modeling for a lab team of 12 with
COMSOL Multiphysics
 Invented new electrophysiological mapping system with a micro-precision 3D
motor/sensor using LabVIEW
 Drafted custom PCBs in accordance with industry design rules for use in implantable
neural prosthetics
 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
 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
 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
 Revamped old curriculum with original, effective lesson plans and teaching methods
 Managed class of over 20 students each quarter through directing weekly 3-hour
discussion section
Signal Processing Intern: Leidos, San Diego, CA Summer 2015
 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
 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
 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
 Mentored 4 teammates to develop their personal emotional and spiritual maturity
Volunteer Leader: Cru Global, UCLA Fall 2011 – Spring 2016
 Liaison between students and staff in Cru responsible for vision casting and assessing
the health of a movement of 300 students
 Mentored 6 students to develop leadership qualities and was speaker for the weekly
meeting
Publicationsand
Awards
Senior Capstone: Best Research Tool Winter 2015
 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
 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
 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
 CLAD Certified
LabVIEW Developer
 MATLAB/Simulink
 COMSOL Multiphysics
(CAD Modelling)
 C++/O.O.P.
 Java
 XML
 Excel
 PCB Design
 VisSim
 SAAM II
Lab Techniques
 Cell culture
 Neuron extraction
 Cell activity assays
 Protein assays
 Protein coating
 Bioconjugation
 Spectroscopy
 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  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  Sole employee responsible for all computational modeling for a lab team of 12 with COMSOL Multiphysics  Invented new electrophysiological mapping system with a micro-precision 3D motor/sensor using LabVIEW  Drafted custom PCBs in accordance with industry design rules for use in implantable neural prosthetics  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  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  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  Revamped old curriculum with original, effective lesson plans and teaching methods  Managed class of over 20 students each quarter through directing weekly 3-hour discussion section Signal Processing Intern: Leidos, San Diego, CA Summer 2015  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  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  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  Mentored 4 teammates to develop their personal emotional and spiritual maturity Volunteer Leader: Cru Global, UCLA Fall 2011 – Spring 2016  Liaison between students and staff in Cru responsible for vision casting and assessing the health of a movement of 300 students  Mentored 6 students to develop leadership qualities and was speaker for the weekly meeting Publicationsand Awards Senior Capstone: Best Research Tool Winter 2015  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  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  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  CLAD Certified LabVIEW Developer  MATLAB/Simulink  COMSOL Multiphysics (CAD Modelling)  C++/O.O.P.  Java  XML  Excel  PCB Design  VisSim  SAAM II Lab Techniques  Cell culture  Neuron extraction  Cell activity assays  Protein assays  Protein coating  Bioconjugation  Spectroscopy  Soldering