Optics Aficionado in Quantum-inspired Perception
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Transforming complex optical hardware into scalable, production-ready systems and driving the evaluation and maturation of emerging sensing technologies.
University of Pittsburgh
Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering
January 1, 2015 – January 1, 2020
The University of Texas at Arlington
Master's Degree, Electrical Engineering
January 1, 2012 – January 1, 2014
Shenzhen University
Bachelor's Degree, Photoelectric Information Engineering
January 1, 2007 – January 1, 2011
Diffraqtion
Founding Lead Optical System Engineer
October 1, 2025 – Present
Somerville, Massachusetts, United States · On-site
2Pi Inc.
Sr. Optical Engineer
October 1, 2024 – October 1, 2025
Cambridge, Massachusetts, United States · On-site
KineoLabs
Sr. Research Scientist
August 1, 2024 – October 1, 2024
Billerica, MA · On-site
Innovusion
Senior Optical Research Scientist
August 1, 2022 – June 1, 2024
Sunnyvale, California, United States
Harvard Medical School and Massachusetts General Hospital
Research Fellow
September 1, 2020 – August 1, 2022
United States
Candela Medical
R&D Laser Scientist
June 1, 2019 – September 1, 2019
Greater Boston
The University of Texas at Arlington
Research Assistant
July 1, 2014 – May 1, 2015
Arlington, TX
Sanmina
Quality Assurance Engineer
August 1, 2011 – June 1, 2012
Shenzhen, Guangdong, China
Distributed Fiber Raman Temperature Sensor
September 1, 2019 – February 1, 2020
Initiated and designed a distributed Raman temperature sensor based on all-fiber structure.
Laser Linewidth Self-heterodyne Measurements
July 1, 2019 – November 1, 2019
Built and optimized a 20km self-heterodyne system to measure 5kHz linewidth CW laser.
Distributed Acoustic Sensors with Machine Learning
September 1, 2018 – July 1, 2019
Built a distributed Rayleigh phase time-domain reflectometer for 100kHz acoustic wave measurement. Optimized 3x3 coupler phase demodulation. Participate in the FPGA design including 5ns light pulse generation and high-speed data acquisition. Exploited supervised and unsupervised machine learning to classify the intrusion and pipeline corrosion.
Intrinsic FP Interferometer Fiber Sensor
October 1, 2016 – August 1, 2017
Investigated FPI array as distributed fiber sensor based on FFT frequency spectrum analysis
Fiber-based NIR Methane Sensor
August 1, 2016 – September 1, 2017
Built a methane concentration sensor with spectrum absorption and signal processing. Optimized with Wavelength Modulation Spectroscopy and and Chirped Laser Dispersion Spectroscopy. Studied the all-fiber distributed methane sensor by tapering the fiber to nanowire.
U-band Optical Raman Amplifier
August 1, 2015 – May 1, 2016
Developed 1666nm Raman amplifier consisting of EDFA and 20km dispersion-shifted fiber.
Portable and Miniature Imaging System for In-vivo Fluorescence/Luminescence Analysis
October 1, 2012 – April 1, 2015
To achieve compact and portable in-vivo analysis device better than congeneric commercial products, the device design including optical and electrical parts is to abridge the light path, develop circuit module and bring about automatic operation.
X-RAY COMPOUND REFRACTIVE LENSES
February 1, 2011 – May 1, 2012
In order to converge X-ray, a set of planar parabolic lenses simulated by ray tracing in ZEMAX and fabricated from SU-8 photoresist has been achieved.
THE CONTROL AND IMAGING PROCESSING OF MULTISPECTRAL IMAGING MICROSCOPE SYSTEM BASED ON LABVIEW
March 1, 2009 – April 1, 2010
Aiming at image acquisition and processing, the LabVIEW program related to image sequence acquisition, false colorization processing and spectral curve synthesis has been developed.
DEVELOPMENT OF COAXIAL LED SOURCE
August 1, 2008 – February 1, 2009
The basis function of digital control and uniform coaxial illumination are completed by pulse-width modulation (PWM) and statistical analysis of LED with Tracepro.
Cultural Fit Analysis
The candidate's background is heavily skewed towards optical engineering, physics, and hardware development, with significant academic and research experience. While there's mention of machine learning in one project, the overall profile is not directly aligned with a typical 'Data Analyst' role which often requires strong business acumen, SQL, Python/R for statistical analysis, data visualization, and dashboarding skills. The projects are highly technical and research-oriented, indicating a fit for innovation-driven environments. The transition to a pure Data Analyst role might require significant upskilling in core data analysis tools and methodologies.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving orientation and a hands-on approach to system development. The roles held, particularly 'Founding Lead Optical System Engineer' and 'Sr. Research Scientist', suggest leadership potential and an ability to drive projects from conception to completion. However, the provided data does not offer direct insights into communication, teamwork, or stress handling beyond the general nature of research and development roles.