Viet (Tien) Nguyen-A-levels/IB/AP/IGCSE/MYP Tutor
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Experience
A-levels/IB/AP/IGCSE/MYP Tutor
Aspire Global Academy
- Online tutor specializing in A-Levels, IB, AP, and IGCSE curricula (College Board AP, Cambridge CIE, Pearson Edexcel, AQA, OCR, etc.), offering expert instruction in Physics, Chemistry, and Mathematics
- Prepare classroom and course materials, assign homework/mock exams and grade students’ assessment
- Prepare monthly progress reports and term report cards of student progress
- Prepare past paper tracking sheet and homework for students during exam prep period
- Collaborate with Operations team to provide a positive learning experience to students
- Collaborate with Marketing team to promote and give insights to content creating and group building process
Postdoctoral Scientist
Institute of Theoretical Physics, Chinese Academy of Sciences
- V. Nguyen and X. Song, A dual-space classification scheme of spatial heterogeneities in 2D monatomic supercooled liquids, Journal of Physics: Condensed Matter (2023).
- Substantially improving accuracy in predicting dynamical propensity in supercooled liquid via implementation of Principal Component Analysis and data analysis.
- V. Nguyen and X. Song, Automated characterization of spatial and dynamical heterogeneity in supercooled liquids via implementation of Machine Learning, J. Phys.: Condens. Matter 35, 465401 (2023).
- Successfully perform molecular dynamics simulation and statistical physics to theoretically achieve a characterization of jamming transition in biological cells.
- K. Santra, V. Nguyen, E. A. Smith, J. W. Petrich and X. Song, Localization of nonblinking point-sources using higher-order-mode detection and optical heterodyning: Developing a strategy for extending the scope of molecular, super-resolution imaging, J. Phys. Chem. B, 125, 3092 (2021).
- Experience in creating and annotating high-quality training data across text, image, and video.
- Familiarity with annotation projects involving sensitive or nuanced content.
Ph.D. Researcher Assistant
Iowa State University
- Worked independently to research and develop new ML models to detect and classify nano-domains structure of super-cooled liquids and glass-former materials.
- Collaborated with postdocs to build an extensive theoretical framework by implementing numerous statistical data analysis techniques to achieve super-resolution images for nonblinking point-sources using higher-order-mode detection and optical heterodyning.
- Solid background in mathematics and statistical physics.
- Expertise to analyze and perform numerical and statistical data analysis techniques such as maximum likelihood optimization, regression models, etc., both in MATLAB and Python.
- Proficiency in writing scientific codes with Python to be useful and reproducible by using object-oriented programming and building a package.
- Solid background knowledge of machine learning both in concepts and implementation of a variety of techniques in both supervised and unsupervised learning such as clustering analysis, principal component analysis, Gaussian mixture, SVM, etc.
- Experience working with data science toolkits such as EDA, Pandas, SQL, NumPy, scikit-learn, SciPy and tools like Matplotlib and Seaborn for data visualization.
- Mastered performing molecular dynamics simulations using LAMMPS.
- Experience and familiarity with AI, Bash, Linux/Unix, GitHub, LaTeX, OpenMPI/HPC.
Teaching Assistant
Iowa State University
- Led weekly laboratory sessions on General Chemistry to class of ~35 students.
- Designed and led weekly lecture review and recitations of Molecular Thermodynamics for group of ~25 students.
- Held office hours, graded problem sets and exams.
Tutor
University of Michigan-Flint
- Tutored college-level students in Mathematics, Chemistry, and Physics, fostering stronger subject mastery and academic success.
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Experienced in Education.
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Experienced in Research and Development, Marketing, and Operations.
Summary
Hardworking, organized, and dedicated Ph.D. with over eight years of experience applying statistical data analysis and machine learning methods to computational modeling and statistical physics. In addition to my research background, I have extensive experience teaching and tutoring Physics, Chemistry, and Mathematics across multiple international curricula, including A-Levels, IB, AP, and IGCSE. I am seeking a role that leverages my analytical expertise, strong computational skills, and teaching experience to meaningfully contribute to organizational goals and long-term success.
Skills
Numerical And Data Analysis
Machine Learning, Data Science
Programming Language: Python, Matlab
Molecular Dynamics Simulation: Lammps
Miscellaneous: Bash, Hpc, Openmpi, Latex, Microsoft Office, Labelbox
Critical Thinking And Problem Solving
Self-Motivated To Work Under High Pressure
Effective Time Management
Effective Communication Skills
Fast Learner
Creativity And Innovation
Ability To Work Independently
Attention To Detail
Languages
Education
Iowa State University
Doctor of Philosophy, Physical Chemistry · Physical Chemistry · United States
University of Michigan-Flint
Bachelor of Science, Chemistry · Chemistry · Flint, United States
Statistics
Experience
Expertise
Qualifications
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