Research
Computational research across molecular scales.
I use molecular simulation, electronic-structure methods, and scientific computing to study molecular structure, dynamics, interfaces, recognition, and spectroscopic behavior—and to build reproducible workflows around those calculations.
Research directions
Scientific questions first; methods in service of them.
Representative directions connect public case studies, software, and peer-reviewed work without exposing unpublished systems or collaborator-owned data.
01 · Soft materials & interfaces
Molecular simulation of complex molecular environments
I use atomistic modeling to examine solvation, structural change, interfacial organization, molecular contacts, hydration, orientation, and related trajectory-derived observables. The emphasis is on defining measurable quantities that connect molecular motion to an interpretable physical picture.
02 · Biomolecular modeling
Molecular recognition, biomolecular structure, and membrane systems
My biomolecular work spans molecular recognition and conformational questions in nucleic-acid and membrane-protein systems. Representative published studies include TMPyP4 binding to a c-MYC G-quadruplex and an all-atom model of the human cardiac sodium channel in a lipid bilayer.
03 · Electronic structure & spectroscopy
Excited states, reaction mechanisms, and structural ensembles
I use quantum-chemical and post-processing workflows to connect electronic-structure calculations with chemically interpretable observables. Public examples include density-functional analysis of linamarin hydrolysis and the qctddft workflow for ensemble TDDFT, broadened spectra, state assignment, and representative-structure clustering.
Computational research infrastructure
Scientific software and high-performance computing.
Simulation and electronic-structure research depend on reliable analysis, automation, and execution environments. I treat those as part of the research method rather than as invisible support work.
Software
Inspectable analysis workflows
Python utilities, command-line interfaces, environment definitions, tests, and CI checks for recurring computational-chemistry tasks.
HPC & workflow execution
Batch, GPU, and staged simulation pipelines
Batch-oriented processing, GPU-enabled molecular dynamics, staged AMBER workflows, and command-line pipelines designed for repeatable execution.
Selected publications
Representative peer-reviewed research.
Representative publications are listed newest first. The complete citation record is available through Google Scholar and ORCID.
2026
Molecules · 31(15), 2600
Interfacial and molecular analysis of saponin-rich extracts and pancreatic-lipase modulation.
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2025
Journal of Biomolecular Structure and Dynamics · 43(16), 9331–9337
Molecular-dynamics and free-energy analysis of TMPyP4 binding modes in a c-MYC G-quadruplex.
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2024
Scientific Reports · 14, 26857
All-atom membrane-protein modeling of the human cardiac sodium channel in a lipid environment.
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2024
Journal of Molecular Graphics and Modelling · 128, 108716
Density-functional analysis of linamarin hydrolysis mechanisms and derivative design.
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2023
Chemical Engineering Journal · 459, 141596
Interdisciplinary materials study of metal-ion modification in lignocellulosic systems.
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2021
Journal of Molecular Graphics and Modelling · 102, 107767
Computational target prediction, reverse docking, and pharmacokinetic/toxicity analysis of a fungal natural product.
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