Sam Wiwatanapataphee (she/her)

PhD (Maths & Stats), lecturer, and data scientist

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I am a lecturer and researcher in AI & data science specialising in data-driven optimisation and computer simulation using Python, R, and MATLAB. I completed a PhD in Mathematics and Statistics with research spanning fractional differential equations, space–time modelling, and blockchain-based smart grid systems.

Currently, I focus on fostering an inclusive, project-based learning environment that connects mathematical and statistical theory with real-world applications that highlight sustainability and responsible decision-making.

Work Experience

Tip   Curtin University, Australia
Associate Lecturer
I’m currently teaching the unit Computer Simulation (onshore), Economics (offshore), and Supply Chain Modelling and Optimisation (offshore) and supervising 12 UG/MS students		 2026 - Present
Sessional Academic
Teaching and tutoring 600+ UG students onshore and offshore across nine units in mathematics, statistics, data science, and actuarial science
 2023 - 2025
Research Assistant
Solving DEs with FEM for bridge structural analysis
Output was published in 2019.		 Feb - Nov 2018
Tip   Thanachart Insurance PCL, Thailand
Intern Analyst
Conducted advanced statistical research on motor insurance risk, customer retention, and renewal rates;
Developed Tableau dashboards for KPI monitoring and insights.		 2018 - 2019

Education

Ph.D. in Mathematics and Statistics
Curtin Univerity, Australia
RTP Scholarship Recipient
Thesis: Blockchain-based Renewable Energy Trading and Storage Optimisation		 2025
Master of Data Science (Distinction)
The University of Western Australia, Australia		 2021
Bachelor of Science (Actuarial Science)
Curtin University, Australia
Actuaries Institute Australia’s Foundation program
• CT1 Financial Mathematics;
• CB1 Business Finance;
• CS1 Actuarial Statistics
• CB2 Business Economics;
• CM2 Financial Engineerng & Loss Reserving		 2018

Technical Skills

I work in quantitative analysis, statistical modelling, and actuarial methods, supported by experience in data analytics, technical development, and teaching.

Tip Analytical & Modelling
  • Mathematical and statistical modelling
  • Machine learning and deep learning models for predictive and data-driven analysis
  • Simulation and optimisation, including Monte Carlo simulation and supply chain modelling
  • Actuarial modelling, including time series forecasting, stochastic processes, and risk modelling
  • Insurance analytics, including loss modelling, customer retention analysis, and KPI/dashboard development
Tip Teaching & Academic Practice
  • Curriculum design in economics and optimisation; coordination of academic units
  • Delivered tutorials, workshops, and mentored students on applied projects
  • Experienced with LMS platforms (Blackboard, Moodle) and modern quantitative pedagogy
Tip Techinal & Development
  • Web development: HTML, CSS, JavaScript
  • Tools & environments: Git, Unix/Linux
  • Scientific writing and documentation using LaTeX

Research & Publications

My research focuses on integrating mathematical, statistical, and computational methods to address real‑world sustainability challenges, in particular:

  • Multifractal Models for Financial Time Series
  • Optimisation of Battery Storage Systems using Big Data from Smart Grids
  • ML for Predictive Maintenance in Sustainable Wind and Solar Systems
  • AI-Based Financial Risk Management under Market Volatility
Year Publication
2026 Sawangtong, W., Wiwatanataphee, D. & Sawangtong, P. Extended Caputo Space–Fractional Black–Scholes Equation with Scale-Dependent Diffusion. AIMS Mathmatics, 2026, 11(3): 7468-7496. https://doi.org/10.3934/math.2026306
2025 Wiwatanapataphee, D., Wu, Y., Sawangtong, W. & Sawangtong, P. Modeling Anomalous Diffusion and Volatility in the Australian National Electricity Market Using a Space-Fractional Black-Scholes Framework[J]. AIMS Mathematics, 2025, 10(5): 12388-12420. https://doi.org/10.3934/math.2025560
2019 Wiwatanapataphee, D., Khajohnsaksumeth, N. & Wu, Y.H. Effect of Beam Joinery on Bridge Structural Stability. Advanced Differential Equation 2019, 225 (2019). https://doi.org/10.1186/s13662-019-2158-5
Date Conference
2-6 Feb 2025 Gave a talk on the topic of “Fractional Black-Scholes Model for Pricing Derivatives in the Australian Electricity Market” at ANZIAM 2025 Conference, Pacific Bay Resort, Coffs Harbour, NSW.
16-18 Dec 2018 Gave a talk on the topic of “Effect of beam joinery on bridge structural stability” at ICMA-MU 2018: The 2018 International Conference in Mathematics and Applications, The Century Park Hotel, Bangkok, Thailand.

Certificates

2026 Provide First Aid
First Aid for Mental Health		 St John Ambulance Western Australia
2026 Emergency Fire Warden ALCAN Fire Safety
2024 AI Intensive Bootcamp VP Akkodis Academy Australia
2018 Statistical Tools for Risk Modelling Thammasat University
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