Dibakar Sigdel

About Dibakar Sigdel

I am a computational physicist by training, with a strong foundation in Numerical Simulation and Numerical Optimization. This background has shaped a deep appreciation for precision, analytical thinking, and performance-driven problem solving. It has also given me a cross-disciplinary lens through which I explore challenges and opportunities—from the natural sciences to advanced machine learning and big data systems.My work is grounded in the belief that nature and technology follow similar evolutionary principles. Just as DNA evolves through countless iterations over millennia, data-driven systems refine themselves through iterative feedback and model improvement. In both cases, the path from “good” to “exceptional” is driven by the intelligent use of data—whether sourced from biology or human-engineered ecosystems.I specialize in designing and implementing mathematical, statistical, and machine learning models that explain, predict, and optimize real-world phenomena. My applications span a wide range of domains, including science, AI, medicine, and business. I take particular pride in translating complex theory into practical impact, bridging the gap between scientific insight and scalable technological solutions.

Experience

1. Financial Engineer

   Quantumlink Capital

   May 2024 — Present · Euless, TX, US

   Spearheading the research and development of the Quantum Virtual Finance (QVF) stack, a financial digital twin framework that integrates classical and quantum system modeling to simulate complex market behaviors. This platform enables the creation of advanced indicators, AI/ML-driven investment strategies, and multi-agent context-aware signaling systems for predictive analytics and decision optimization.

Education

• Florida International University

  Doctor of Philosophy (PhD), Theoretical and Mathematical Physics

  2011 — 2017

• Udacity

  Artificial Intelligence Nanodegree , AI algorithms and Deep Learning (NLP)

• Udacity

  Machine Learning Nanodegree, Machine Learning

• 2021 Qiskit Global Summer School on Quantum Machine Learning

  Certificate of Quantum Excellence, Quantum Computing, Quantum Machine Learning

Skills

• Statistics
• Numerical Optimization
• Data Analysis
• Gpu Computing
• Machine Learning
• Numerical Analysis
• Lattice Qcd
• Computational Physics
• Research
• Algorithms
• Montecarlo Simulation
• Mathematics
• Distributed Systems
• Leadership
• Physics
• Data Science
• Teaching
• Java
• Matlab
• Sql
• Linux
• Cloud Computing
• Science
• Databases
• C++
• Parallel Computing
• Hadoop
• Artificial Intelligence
• Fortran
• Apache Spark
• R
• Python
• Latex