Scientific Machine Learning
Surrogate modeling, Gaussian-process regression, and neural networks for molecular simulation and complex physical systems.
Computational Scientist · Educator · Digital Innovator
Faculty Member, School of Digital Innovation · International College of Digital Innovation, Chiang Mai University
Computational scientist bridging theoretical chemistry, scientific machine learning, sustainable systems, and digital innovation.

Professional profile
A CV-led overview of the work, appointments, research, conferences, publications, and distinctions behind Terminal Wasut.
About / Wasut Pornpatcharapong
Wasut Pornpatcharapong is a computational scientist and faculty member at Chiang Mai University's International College of Digital Innovation. Trained in computational and theoretical chemistry, his work connects scientific machine learning, thermodynamics, complex systems, carbon analytics, sustainability, digital innovation, and human-AI interaction.
Journey log
Selected appointments and major academic stages, arranged as a concise flight path.
2025 — Present
International College of Digital Innovation, Chiang Mai University · Chiang Mai, Thailand
Founder, lead architect, and coordinator of ICDI Ascent; contributor to undergraduate and graduate curriculum development, international partnerships, quality assurance, and carbon-neutrality initiatives.
2018 — 2025
Faculty of Science, Chiang Mai University · Chiang Mai, Thailand
Coordinated the freshman chemistry laboratory, served on laboratory-safety and academic committees, and delivered educational-innovation and generative-AI training.
2010 — 2018
University of California, San Diego · La Jolla, California, USA
Applied stochastic modeling and machine learning to chemical processes and built Python analytics for high-dimensional data.
— — 2018
University of California, San Diego · La Jolla, California, USA
Doctoral research with Prof. John H. Weare on Markov state models, Gaussian-process regression, reaction coordinates, and free-energy surfaces.
— — 2010
Northwestern University · Evanston, Illinois, USA
Graduated with Departmental Honor in Chemistry; advised by Prof. George C. Schatz.
Current work
Selected themes and projects—not an exhaustive manifest, but a signal of the work in motion.
Surrogate modeling, Gaussian-process regression, and neural networks for molecular simulation and complex physical systems.
Thermodynamics, statistical mechanics, Markov processes, stochastic modeling, and multidimensional free-energy computation.
Carbon accounting, organizational footprints, auditing, and data-informed pathways toward carbon neutrality.
AI-enabled research, teaching, curriculum design, and human-centered systems for interdisciplinary innovation.
Conference record
The ICSEC neural-network free-energy work continued beyond publication and was also presented at the 2026 Computational Chemistry Gordon Research Conference.
Molecular Discovery and Simulation in the AI Era
Castelldefels, Barcelona, Spain · July 19-24, 2026
Presented work
Neural Network Surrogates for Free Energy Computation of Complex Chemical Systems
The neural-network free-energy work published at ICSEC 2025 was also presented at this Gordon Research Conference.
Chiang Mai, Thailand
November 2-5, 2025
Same featured work
Neural Network Surrogates for Free Energy Computation of Complex Chemical Systems
Peer-reviewed conference publication, pages 135-140, DOI 10.1109/ICSEC67360.2025.11298121.
Open ICSEC paperPublished record
A focused reading list of high-signal work. Full bibliographic detail remains available in the CV.
W. Pornpatcharapong
ICSEC 2025 · Work also presented at the 2026 Computational Chemistry Gordon Research Conference · 2025
W. Pornpatcharapong
Chiang Mai Journal of Science, 52(4), e2025040 · 2025
W. Pornpatcharapong
Molecules, 30, 2595 (Scopus / SJR Q1) · 2025
Signal board
A concise selection of professional milestones with the strongest signal across research, teaching, leadership, and institutional service.
2026
FeaturedChiang Mai University Professional Standard Framework
Recognized across active learning, asynchronous facilitation, technology-rich design, digital media, outcomes, assessment, and continuous quality improvement.
2025
FeaturedMolecules
Published independent work reported in the CV as Scopus / SJR Q1, with Impact Factor 4.6 and CiteScore 8.2.
2025
FeaturedInternational College of Digital Innovation, Chiang Mai University
Founded and leads ICDI's innovative summer internship program.
2026
FeaturedChiang Mai University
Appointed by the university's Education Quality Development unit to assess curricula.
2026
FeaturedTeaching and Learning Innovation Center, Chiang Mai University
Awarded for the second semester of academic year 2025.
Passenger document / professional record
The complete four-page professional record is available below, with view and download access.
Terminal directory / map
The professional record comes first. Below it, the terminal map opens into the broader directions of work and life.
Research, questions, and the disciplined pursuit of understanding.
A future atlas of places, encounters, and perspectives gathered along the way.
A future record of movement, endurance, and the roads that shape a life.
A future gallery for visual experiments, ideas, and works in progress.
A future logbook for growth, ambition, and the next horizon.
What’s next