JIE MA

Email: ac2cja@r.postjobfree.com Mobile: +1-310-***-**** 2236 8th St, Berkeley, CA 94710

SUMMARY

Education: Master in Bioengineering at UC Berkeley, Class of 2017. Graduated with honors in Biophysics and Mathematics from UCLA. Machine-learning and data analysis in Python, MATLAB, and R.

Work & Research Experience: 3 years in computational/algorithmic Bioengineering and Biophysics. EDUCATION

University of California Berkeley CA, USA Aug 2016 – May 2017 M.Eng. in Bioengineering

College of Engineering Fung Fellowship.

Multiple projects in supervised learning & data analysis, modeling and simulation of medical devices’ performance.

Technical courses (GPA 4.0/4.0): Imaging Signals and Systems, Molecular and Cellular Bio-photonics, Macromolecular Biotechnology, BioMEMs and Nanotechnology, Robotics. University of California Los Angeles CA, USA Sept 2011 – Sept 2015 B.S. in Biophysics, minor in Mathematics

College Honors 2011-15.

Statistics and Applied Mathematics coursework focus: Statistics and Probability theory (5 courses), Optimization, Mathematical modeling, Linear Algebra (3 courses), Computational Neuroscience, Statistical Physics.

Research in computational/algorithmic data analysis in Bioengineering and Biophysics departments. WORK & RESEARCH

UC Berkeley Haas School of Business - MedAid Oct 2016 – Apr 2017 Founder and Biochemical Engineer

MedAid is a portable finger-prick blood chemical testing device that I developed first as a biochemistry class project.

Created a python algorithm for automated data collection, regression analysis, and reporting.

Built a team of engineers and MBAs for prototyping and market research of the device.

Received multiple investment proposals at Berkeley’s spring LLP cohort. Advised by founders of the LLP movement. UC Berkeley EECS - Imaging Systems Lab Sept 2016 – May 2017 Research Associate

Model propagation and damping of pulse signal in living tissues, simulate tissue heating and neuronal stimulation effects under various electromagnetic pulse sequences.

Thesis: Special Absorption Rate Limit in Pulse Magnetic Particle Imaging. To be published with group’s next paper. UCLA Dept. of Physics - Coherent Imaging Group Feb 2015 – Apr 2016 Research Associate

Developed supervised machine learning algorithm for atomic resolution electron microscopy image analysis.

Led a team to design, build, and analyze data for 3-Dimensional Coherent Imaging of living tissue. UCLA Bioengineering - Honors Research Sept 2014 – May 2015 Undergraduate Researcher

MATLAB algorithm development and data cleansing for individual motion- and cell division- tracing of 10,000+ bacteria over up to 15 hours per trial.

Wet lab routines, e.g. cell culturing, flow-cell microscopy. PROJECTS

Hide-N-Seek Game for Zumy Robots, UC Berkeley EECS Oct 2016 - Dec 2016

Python path-optimization, kinematics control, and inter-robot cooperation algorithms for robots’ hide-n-seek game in random augmented reality mazes. Developed on ROS platform. Nano Transmembrane Voltage Detector, UCLA Biochemistry Sep 2015 - Dec 2015

Mathematica functionality simulation of nano voltage detector to measure trans-cell membrane voltage difference.

Shape/geometry optimization of nano-rod based on simulation data. PROGRAMMING, LANGUAGE, CERTIFICATES

Programming

Proficient in Python, MATLAB, Mathematica; Data analysis in R, SQL queries

Languages

Fluent English, Chinese Mandarin, Cantonese; Intermediate French; Elementary Italian and Japanese

Certificates

Certificate courses in Machine Learning Series (Stanford) and Bioinformatics Series (UCSD)

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