CHUAN HE
Ann Arbor
Summary
Ph.D. in Mechanical Engineering specializing in thermal and structural simulation, system optimization, and advanced manufacturing. Proven track record in delivering intelligent control solutions that enhance system performance and lead cross-functional projects. (Selp-sponsored)
Overview
4
4
years of professional experience
Work History
Graduate Student Research Assistant
University of Michigan
Ann Arbor
06.2021 - Current
- Pioneered intelligent scanning strategies and thermal models (FEA, COMSOL), improving part uniformity by 40% and reducing stress-induced failures by 35% in LPBF systems
- Led system integration efforts between control software and manufacturing hardware, enabling validated performance gains for multi-laser additive manufacturing systems, including a 20% increase in process stability
- Contributed to research to product transition by co-developing optimization methods, resulting in three patented technologies later deployed in commercial AM platforms.
Senior Mechanical Engineer
Ulendo Technologies, Inc.
Ann Arbor
09.2023 - 04.2025
- Led mechanical simulation and system-level optimization for metal additive manufacturing platforms, reducing thermal distortion by 40% and enhancing system throughput by 30%
- Developed a Python-based multi-objective optimization toolkit, deployed across 20 industrial users, directly improving process efficiency and reliability
- Designed and integrated adaptive control algorithms into production environments, achieving a 20% reduction in first-time print failures, contributing to accelerated product qualification cycles
- Managed the full lifecycle of software development for industrial additive manufacturing solutions, overseeing a cross-functional team of four engineers from algorithm conception to production deployment, and serving as the primary technical liaison to clients by addressing technical challenges and conveying scientific rationales.
Research Scientist
Ford Motor Company
Dearborn
04.2021 - 09.2021
- Developed machine learning-based inspection tools that enhanced mechanical component evaluation accuracy by 35%, enabling early defect detection and reducing rework rates
- Drove cross-functional quality initiatives that decreased defect rates by 20% and improved interdepartmental alignment, expediting product qualification timelines.
Education
Ph.D. - Mechanical Engineering
University of Michigan
Ann Arbor, MI12-2025
B.S. - Mechanical Engineering
Virginia Tech
Blacksburg, VA05.2020
Skills
- ANSYS and COMSOL
- ABAQUS and SolidWorks
- AutoCAD proficiency
- Python and MATLAB
- C programming
- SQL database management
- Thermal and structural analysis
- Finite element analysis (FEA)
- Manufacturing systems expertise
- Fluid mechanics knowledge
- Applied mathematics
- Physics fundamentals
- Machine learning techniques
- Data-driven modeling
- Project management
- Metal additive manufacturing (AM)
- Laser powder bed fusion (LPBF)
- Verbal and written communication
- Complex problem solving
- Creative thinking
- Technical consulting
- Laboratory equipment handling
- Process optimization strategies
- Technical documentation skills
- Cross-functional collaboration
Timeline
Senior Mechanical Engineer
Ulendo Technologies, Inc.
09.2023 - 04.2025
Graduate Student Research Assistant
University of Michigan
06.2021 - Current
Research Scientist
Ford Motor Company
04.2021 - 09.2021
Ph.D. - Mechanical Engineering
University of Michigan
B.S. - Mechanical Engineering
Virginia Tech
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