Minh-hai Tran is a project lead and materials scientist with a Ph.D. in Applied Physics and over a decade of experience translating deep-tech research into market-ready products, particularly in biomaterials and sustainable technologies. He has authored 18 papers, secured over $600k in grants, and led ventures that advanced wound-care algae dressings and home cervical cancer detection prototypes from concept to prototype and market validation. Complementing his lab expertise, he holds a diploma in data science and has contributed backend improvements to the scientific instrumentation library pymeasure, enhancing PyVISA compatibility. Comfortable bridging academia, startups, and industry, he combines technical rigor, business planning, and customer discovery to de-risk commercialization. Outside of work he pursues language learning, volunteering, and debate, reflecting a communicative, multidisciplinary approach to projects that benefit people and the environment.
11 years of coding experience
2 years of employment as a software developer
Postdoctoral fellowship, Entrepreneurship/Entrepreneurial Studies, Postdoctoral fellowship, Entrepreneurship/Entrepreneurial Studies at Concordia University
Diploma, Data Science, Diploma, Data Science at BrainStation
Bachelor of Applied Science - BASc, Materials Science, 4.0/4.0, Bachelor of Applied Science - BASc, Materials Science, 4.0/4.0 at Vietnam National University, HCMC
Doctor of Philosophy (Ph.D.), Applied Physics, 4.0/4.0, Doctor of Philosophy (Ph.D.), Applied Physics, 4.0/4.0 at Daegu University
Diploma of Education, Teaching English as a Second or Foreign Language/ESL Language Instructor (TESOL), Diploma of Education, Teaching English as a Second or Foreign Language/ESL Language Instructor (TESOL) at ISS Language and Career College of BC
Scientific measurement library for instruments, experiments, and live-plotting
Role in this project:
Back-end Developer
Contributions:36 commits, 4 PRs, 7 pushes in 11 months
Contributions summary:Minh-hai significantly contributed to the `pymeasure/pymeasure` project by implementing support for multiple versions of the PyVISA library. They refactored the VISA adapter to handle different versions, incorporating distinct classes for VISA versions 1.4 and 1.5+. The user also added a configuration method for data transfer formats and rewrote the `values()` method for handling instrument responses, addressing data handling and compatibility issues. Furthermore, the user integrated these changes by modifying the Keithley2000 instrument class to utilize the updated VISA adapter.
Algorithms for adaptive refinement of measurements
Contributions:10 commits, 2 pushes in 4 years 5 months
adaptivemeasurementsrefinementadaptive-refinement
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