Dibakar Sigdel is a computational physicist turned Quantum AI leader with 11 years of experience building numerical simulation, optimization, and machine learning systems across healthcare, omics, BCI, and finance. As Co-Founder and Quantum AI Lead at Mindverse Computing he develops Quantum Digital Twins—including QVM, QVO, and QVF—by integrating multi-agent AI, quantum simulation, and mixed-integer nonlinear optimization to turn complex real-world data into actionable models. Previously a principal data scientist at Truveta and an omics data scientist at UCLA, he has deep practical experience with large-scale ML pipelines, synthetic EHR generation, and multi-omics integration. He bridges rigorous theoretical training (PhD in Theoretical and Mathematical Physics) with applied AI, translating abstruse physics concepts into scalable, production-ready solutions. Based in Seattle, he combines curiosity about natural evolutionary principles with a pragmatic focus on iterative, data-driven model improvement. An often-overlooked strength is his ability to unify cross-disciplinary teams around mathematically grounded, performance-driven solutions that deliver measurable impact.
11 years of coding experience
Artificial Intelligence Nanodegree , AI algorithms and Deep Learning (NLP), Artificial Intelligence Nanodegree , AI algorithms and Deep Learning (NLP) at Udacity
Certificate of Quantum Excellence, Quantum Computing, Quantum Machine Learning, Certificate of Quantum Excellence, Quantum Computing, Quantum Machine Learning at 2021 Qiskit Global Summer School on Quantum Machine Learning
Doctor of Philosophy (PhD), Theoretical and Mathematical Physics, Doctor of Philosophy (PhD), Theoretical and Mathematical Physics at Florida International University
:octocat: Numpy for handling n-dim array, algebraic operation, plotting, statistics, and NumPy array functions :rocket:
Contributions:33 commits, 31 pushes, 1 branch in 3 months
operationarraypythonndarraymathematics
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