From physics to practical
decision science.
My background combines physics, financial engineering, 4+ years of analytics consulting, and 10+ years of teaching — all focused on making decision support explainable and useful.
0+
Years consulting
0+
Years teaching
BSc
Physics, ITB
MSc
Financial Engineering, NTU
Capabilities
What I work on.
Decision science is most useful when technical models connect directly to the business decisions that matter — and when the people using the outputs can trust what they're seeing.
Planning Decisions
Support strategic, tactical, and operational planning with structured decision models.
Optimization Models
Model objectives, constraints, and trade-offs to improve resource allocation decisions.
Forecasting and AI
Estimate demand, risk, and future outcomes when historical data can support prediction.
Decision Tools
Turn model outputs into tools, dashboards, and workflows that people can use.
Analytics Translation
Explain model logic in plain language so recommendations are easier to trust.
Implementation Support
Work with users to test assumptions, refine outputs, and improve adoption.
Education
Academic background.
M.Sc. Financial Engineering
Nanyang Technological University, Singapore
Quantitative finance, risk, and numerical methods2016–2017
B.Sc. Physics
Institut Teknologi Bandung, Indonesia
Physics, modeling, and scientific computation2011–2015
Certifications and recognitions that shaped my foundation in quantitative finance, computational methods, and graduate study.
Passed CFA Level II Exam
2019CFA Institute
Passed the Level II examination in the CFA Program, strengthening my foundation in investment analysis, portfolio management, and financial modeling.
Certificate in Computational Finance
2017Carnegie Mellon University, USA
Completed a computational finance certificate focused on quantitative methods, financial modeling, and numerical techniques.
LPDP Scholarship Awardee
2015Indonesia Endowment Fund for Education
Awarded a national scholarship for graduate study, supporting my M.Sc. in Financial Engineering at Nanyang Technological University.
Research interests
What I'm studying.
Areas I want to keep developing, especially around advanced optimization methods and future decision science technologies.
Quantum Computing
Exploring how quantum computing may support optimization, simulation, and scientific computation.
Optimization Under Uncertainty
Robust and stochastic optimization for decisions involving randomness, disruption, and imperfect information.
Multi-Objective Optimization
Balancing competing objectives such as cost, service level, resilience, and operational efficiency.
Metaheuristics
Flexible search methods for complex optimization problems where exact methods are hard to scale.
Large-Scale Optimization
Methods for solving complex decisions with many variables, constraints, and operational trade-offs.