I am a quantum computing scientist and research leader with 13+ years of experience spanning quantum algorithms, machine learning, theoretical physics, and applications in drug discovery. My work focuses on bridging foundational research with real-world impact—developing hybrid quantum-classical methods, advancing quantum machine learning, and translating emerging technologies into actionable insights across industry and academia. I bring a deep technical background, a strong publication and patent record, and leadership experience across startups, research institutions, and biopharma.
My main research interests are:
- Quantum computing and algorithm development
- Quantum machine learning and optimization
- Open quantum systems and simulation methods
Latest news
[April 2025] Our review paper on Quantum Machine Learning Framework for Longitudinal Biomedical Studies has been accepted in ACS Chemical Reviews.
[April 2025] We have published a manuscript on Quantum Machine Learning Framework for Longitudinal Biomedical Studies.
[April 2025] We will be organizing the 2nd Workshop on Quantum Algorithms for Bio and Life Sciences at the 2025 IEEE Quantum Week in Albuquerque, NM.
[January 2025] Our use case on Quantum mRNA Optimization was featured on the World Economic Forum's Quantum Application Hub.
[June 2024] We will be organizing a workshop on Quantum Algorithms for Bio and Life Sciences at the 2024 IEEE Quantum Week in Montreal, Canada.
[May 2024] We have published a manuscript on mRNA secondary structure prediction using utility-scale quantum computers.
[September 2023] I joined Moderna as an Associate Scientific Director, Quantum Algorithms and Applications.
[July 2023] Our manuscript Quantum Computing for Finance has been published in Nature Reviews Physics.
[June 2023] Our manuscript Similarity-Based Parameter Transferability in the Quantum Approximate Optimization Algorithm has been accepted in Frontiers in Quantum Science and Technology, section Quantum Information Theory.
[March 2023] Our manuscript Towards a Scalable Discrete Quantum Generative Adversarial Neural Network has been published in Quantum Science and Technology.
