SUMMARY
• PhD expertise in magnetic resonance physics, sequence programming, MR motion tracking, image recon.
• 5 – 10 years of working experience with MATLAB, LabVIEW, C/C++, as applied to signal processing, hardware/firmware programming, data acquisition and automation
EDUCATION
2010–2016. Ph.D. Candidate, Biomedical Engineering, Johns Hopkins University
2008–2010. M.S.E. Biomedical Engineering, Johns Hopkins University. GPA 3.88 of 4.0
2004–2008. B.S.E. Biomedical & Electrical Engineering Duke University. Summa cum Laude, GPA 3.95 of 4.0
KEY SKILLS
Advanced in MRI sequence programming (Siemens IDEA platform) and MR physics.
Advanced in MATLAB (esp. signal processing, image reconstruction, compressed sensing).
Advanced in hands-on electronic device building, robotics, data acquisition and actuation.
Proficient in LabVIEW (especially data acquisition, instrument control, automation).
Proficient in C/C++, hardware and firmware programming.
Experienced in CAN data collection and analysis.
Experienced in assembly programming.
Experienced with graphic design and layout, Adobe Illustrator, Photoshop.
Fluent in Chinese (native).
EXPERIENCE: INDUSTRY
Mar–June 2015
Internship: Tesla Motors (Palo Alto, CA)
• Implemented battery manage system (BMS) firmware update to better control battery discharge.
• Implemented new firmware modules in C, tested by collecting and analyzing CAN signals.
• Improved battery state of charge (SOC) estimation algorithm.
May–Aug 2008
Internship: Medtronic Cardiac Rhythm Disease Management, (Minneapolis, MN)
• Developed algorithm for improved arrhythmia detection for implantable cardiac defibrillators.
• Implemented its prototype in MATLAB and tested on patient electrogram database.
May–Aug 2007
Internship: Boston Scientific Cardiac Rhythm Management, formerly Guidant, (St. Paul, MN)
• Redesigned and constructed RF production quality-control assembly for testing of cardiac implantable devices, tripling its precision.
• Performed Gauge R&R (GR&R) statistical analysis to verify assembly performance.
EXPERIENCE: RESEARCH
2009–Present
Graduate Research, MSE, PhD Programs, Biomedical Engineering, Johns Hopkins (Baltimore, MD)
• Motion-Tracking Fast Magnetic Resonance Imaging (Advisors: Daniel A. Herzka, Elliot R. McVeigh)
• Designed fast imaging methods for the heart, joint, and torso in motion, on MRI and PET/MR.
• Designed, programmed 3D radial projection (3DPR) and 2D Cartesian sequences (Siemens IDEA).
• Designed, implemented modern iterative and compressed-sensing image reconstructions.
2005–2008
Undergraduate Research, Center for Metamaterials, Duke University (Durham, NC)
Control & Automation, Data Acquisition: Negative-Index Materials Testing (Advisor: David R. Smith)
• Constructed data-collection robots for measurement of microwave signals in 3D.
• Designed and soldered computer interface circuitry for robotic controller and data collection.
• Designed and programmed robust LabVIEW apps with GUI to automate robotic operations.
EXPERIENCE: TEACHING
Led recitation and review sessions. Teaching assistantships, Johns Hopkins University.
• Spring 2014: Scientific Computing using Python, MATLAB, and R. (Class size: ~100)
• Fall 2011: Statistical Mechanics and Thermodynamics. (Class size: ~120)
INTELLECTUAL PROPERTY
Provisional patent, U.S. patent application: “Integration T2-Preparation and Motion Tracking in MRI.” 2013
EXTRACURRICULAR INVOLVEMENTS
2013–2014
BME EDGE (Student-run career development center for Dept. of Biomedical Engineering)
• Co-director of Public Relations: Coordinated and marketed speaker events; Operated social media.
2012–2014
Ignite Hopkins (storytelling events for the Johns Hopkins community)
• Co-host: ...
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