Technologist & Inventor | Mission-Critical Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I work on industrial automation systems at the intersection of AI, software, and advanced computing. 15+ years in R&D, leading projects from concept to deployment for mission-critical applications across industries. Occasionally sharing perspectives — views are my own.
Carnegie Mellon University
PhD, Electrical and Computer Engineering
January 1, 2010 – January 1, 2013
Tsinghua University
B.E~M.Sc, Electrical Engineering
January 1, 2002 – January 1, 2009
Siemens
Senior Key Expert R&D
April 1, 2022 – Present
Siemens
R&D Project Manager
October 1, 2017 – Present
Siemens
Research Scientist - Future of Automation
June 1, 2016 – Present
ABB
Scientist
November 1, 2013 – June 1, 2016
Raleigh-Durham, North Carolina Area
National Instruments
Software Eng III Intern
May 1, 2013 – August 1, 2013
Austin, Texas Area
Carnegie Mellon University
Teaching Assistant
January 1, 2012 – December 1, 2012
Greater Pittsburgh Area
Carnegie Mellon University
Research Assistant
January 1, 2010 – October 1, 2013
Greater Pittsburgh Area
Wrocław University of Science and Technology
Visiting Researcher
June 1, 2008 – June 1, 2008
Wroclaw, Lower Silesian District, Poland
AREVA T&D
R&D Engineer (British Council Supported Placement)
January 1, 2008 – December 1, 2008
Stafford, UK
Tsinghua University
Research Assistant
January 1, 2006 – July 1, 2009
Beijing, China
Sifang Automation
Technical Intern
July 1, 2005 – July 1, 2005
Beijing, China
Project Management Professional S-Level
Siemens
June 24, 2026 – Present
Heterogeneous Parallel Programming
Coursera
June 24, 2026 – Present
AREVA Certificate on MiCOM IED R&D, Prototyping & RTDS Testing
AREVA T&D
June 24, 2026 – Present
Certified LabVIEW Associate Developer
National Instruments
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in academic and industrial R&D, primarily within large, established engineering companies (Siemens, ABB, AREVA T&D). This suggests a fit for structured environments focused on long-term innovation and complex problem-solving. Their experience is heavily skewed towards electrical engineering, control systems, and embedded systems, which may require adaptation to a pure data analyst role focused on business intelligence or broader data science applications. The lack of explicit project details outside of R&D programs makes it difficult to fully assess their adaptability to diverse project types.
Soft Skills & Operational Fit
The candidate's extensive experience in R&D project management and technical leadership at Siemens suggests strong organizational, problem-solving, and team collaboration skills. Their background in leading R&D programs indicates an ability to manage complex projects and drive innovation. The descriptions of their roles imply a capacity for independent research and development, as well as collaboration within larger teams.