A modular, FAIR-compliant MATLAB framework for ODE biochemical pathway modeling, analysis, and parameterization.
ProblemODE-based biological models become hard to build, parameterize, analyze, and share when each lab relies on bespoke scripts.
ContributionArchitected the framework, implemented parameter estimation, sensitivity analysis, and profile likelihood analysis, and connected MATLAB tooling with COPASI and standard formats.
OutcomeValidated the workflow across systems biology and neuroscience models and published the work in Neuroinformatics.
Architected and built a comprehensive scientific software framework following FAIR principles
Implemented algorithms from scientific literature for parameter estimation, sensitivity analysis, and profile likelihood analysis
Engineered interfaces between MATLAB solvers, COPASI, SBML, and SBtab
Created documentation and managed Git/GitHub collaboration across institutions
Reusable ODE modeling pipelineFrom model setup through simulation, parameter estimation, sensitivity analysis, and result validation.
Start
Model setup
Simulation
Parameter estimation
Sensitivity analysis
Profile likelihood
Results
2013-2015 / MSc thesis and research scholarship
Porphyrin Materials Research
Master's-level wet-lab and analytical work on ionic self-assembly of a porphyrin octacation with TPPS-based anions.
ProblemThe study tested whether an unusual porphyrin octacation could form isolable nanomaterials through charge-driven self-assembly.
ContributionSupported synthesis, purification, spectroscopy, concentration analysis, and undergraduate student supervision within a larger collaboration.
OutcomeContributed to a Tetrahedron paper reporting binary, ternary, and variable-composition porphyrin ionic solids.
Worked with the NiTBTAP octacation and TPPS-derived anions to probe how charge balance, pH, and porphyrin speciation affected ionic self-assembly.
Prepared and purified porphyrin assemblies in acidic aqueous media, keeping reaction ratios controlled for downstream characterization.
Used spectroscopy and concentration analysis to compare product compositions against charge-neutral ionic-solid expectations.
Co-supervised two undergraduate interns and contributed publication-ready evidence for binary, ternary, and variable-composition materials.
A modular, FAIR-compliant MATLAB framework for ODE biochemical pathway modeling, analysis, and parameterization.
Problem
ODE-based biological models become hard to build, parameterize, analyze, and share when each lab relies on bespoke scripts.
Contribution
Architected the framework, implemented parameter estimation, sensitivity analysis, and profile likelihood analysis, and connected MATLAB tooling with COPASI and standard formats.
Outcome
Validated the workflow across systems biology and neuroscience models and published the work in Neuroinformatics.
Architected and built a comprehensive scientific software framework following FAIR principles
Implemented algorithms from scientific literature for parameter estimation, sensitivity analysis, and profile likelihood analysis
Engineered interfaces between MATLAB solvers, COPASI, SBML, and SBtab
Created documentation and managed Git/GitHub collaboration across institutions
Portfolio index / technical workFile 02 · 3 studies
Work / Research archive
Selected technical work.Evidence, methods, outcomes.Selected technical work across scientific software, Android engineering, and quantitative research.
A focused portfolio of projects, including the problem, contribution, outcome, stack, and supporting links for each entry.
Case 012025-present · Founder
Android product engineering
Octidy Android App
A Firebase-first Android app that uses bidding, assignment, and progress tracking to make household chores more transparent and fair.
01 / Problem
Household chores often need lightweight coordination, fairness, and accountability without constant negotiation.
02 / Contribution
Founded the product and built the complete Android app from concept through Play Store testing.
03 / Outcome
Delivered invite-code households, task creation, bidding deadlines, assignment, tie handling, progress tracking, offline sync, and release packaging.
Observed results
01Built and shipped a complete Android app now in Play Store testing under the Octidy brand
02Implemented invite-code households, task creation, bidding deadlines, assignment, tie handling, and progress tracking
03Used Jetpack Compose, Navigation Compose, ViewModels, Hilt, Coroutines, and Flow
04Designed Firebase Auth and Firestore data flows with offline persistence and realtime snapshot listeners
Fig. 01Product interface
DashboardShared household chores dashboard.
BiddingHousehold chore bidding screen.
CalendarHousehold chores calendar screen.
Create taskCreate task screen.
Assigned taskAssigned task screen.
Case 02Jan 2016 - Mar 2025 · PhD project
Scientific software
Subcellular Workflow
A modular, FAIR-compliant MATLAB framework for ODE biochemical pathway modeling, analysis, and parameterization.
01 / Problem
ODE-based biological models become hard to build, parameterize, analyze, and share when each lab relies on bespoke scripts.
02 / Contribution
Architected the framework, implemented parameter estimation, sensitivity analysis, and profile likelihood analysis, and connected MATLAB tooling with COPASI and standard formats.
03 / Outcome
Validated the workflow across systems biology and neuroscience models and published the work in Neuroinformatics.
Observed results
01Architected and built a comprehensive scientific software framework following FAIR principles
02Implemented algorithms from scientific literature for parameter estimation, sensitivity analysis, and profile likelihood analysis
03Engineered interfaces between MATLAB solvers, COPASI, SBML, and SBtab
04Created documentation and managed Git/GitHub collaboration across institutions
Fig. 02Modeling pipeline
Start
Model setup
Simulation
Parameter estimation
Sensitivity analysis
Profile likelihood
Results
Case 032013-2015 / MSc thesis and research scholarship
Materials chemistry research
Porphyrin Materials Research
Master's-level wet-lab and analytical work on ionic self-assembly of a porphyrin octacation with TPPS-based anions.
01 / Problem
The study tested whether an unusual porphyrin octacation could form isolable nanomaterials through charge-driven self-assembly.
02 / Contribution
Supported synthesis, purification, spectroscopy, concentration analysis, and undergraduate student supervision within a larger collaboration.
03 / Outcome
Contributed to a Tetrahedron paper reporting binary, ternary, and variable-composition porphyrin ionic solids.
Observed results
01Worked with the NiTBTAP octacation and TPPS-derived anions to probe how charge balance, pH, and porphyrin speciation affected ionic self-assembly.
02Prepared and purified porphyrin assemblies in acidic aqueous media, keeping reaction ratios controlled for downstream characterization.
03Used spectroscopy and concentration analysis to compare product compositions against charge-neutral ionic-solid expectations.
04Co-supervised two undergraduate interns and contributed publication-ready evidence for binary, ternary, and variable-composition materials.
Fig. 03Research system
TEMClusters
TEMFacets
SEMSurface
Plate III
Fig. 03 / Stylized microscopyAI-stylized from the published TEM and SEM reference images.
01Binary
02Ternary
03Variable composition
Looking for more? / Next file
Need the chronology?
The CV has the full experience, education, skills, and publications record.
A modular, FAIR-compliant MATLAB framework for ODE biochemical pathway modeling, analysis, and parameterization.
Problem
ODE-based biological models become hard to build, parameterize, analyze, and share when each lab relies on bespoke scripts.
Contribution
Architected the framework, implemented parameter estimation, sensitivity analysis, and profile likelihood analysis, and connected MATLAB tooling with COPASI and standard formats.
Outcome
Validated the workflow across systems biology and neuroscience models and published the work in Neuroinformatics.
01
Architected and built a comprehensive scientific software framework following FAIR principles
02
Implemented algorithms from scientific literature for parameter estimation, sensitivity analysis, and profile likelihood analysis
03
Engineered interfaces between MATLAB solvers, COPASI, SBML, and SBtab
04
Created documentation and managed Git/GitHub collaboration across institutions