Members

• Joined in Fall 2025.
• Ph.D. Computer Science, Purdue University, 2025.

Research topics: Combinatorial Optimization, Graph Theory and Quantum Machine Learning.

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• Joined in Winter 2026.
• Temporary Research Fellow, Politecnico di Milano, 2024–2026.
• Postdoc, Universidade Federal de Pernambuco, 2023–2024.
• Postdoctoral Fellow, University of New Mexico, 2022–2023.
• Ph.D., Physics, Universitat Autònoma de Barcelona, 2022.
• M.S., Theoretical Physics, Universidade Federal de Pernambuco, 2015.
• B.S., Chemical Engineering, Universidade Católica de Pernambuco, 2015.
• B.S., Theoretical Physics, Universidade Federal de Pernambuco and University of Porto, 2013.

Research topics: Quantum Information and Quantum Computing, Quantum Chemistry, Optimization.

• Joined in Fall 2022.
• B.Eng. Chemical Engineering, Korea University, 2021.

Research topics: Superstructure Optimization, Generalized Disjunctive Programming.

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• Joined in Fall 2023
• B.Eng. Chemical Engineering, Birla Institute of Technology and Science Pilani, 2023.

Research topics: Benchmarking Classical and Quantum Algorithms for Optimization and Computational Chemistry.

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• Joined in Fall 2023
• B.Sc. Chemical Engineering, University of California, Berkeley, 2015.
• Professional M.Sc. Chemical Engineering, Purdue University, 2019.

Research topics: Pharmaceutical Process Synthesis and Optimization.

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• Joined in Fall 2024
• B.Eng. Chemical Engineering, Gubkin University, Moscow, 2016.
• MSEng, Chemical Engineering, Monash University, Melbourne, 2019.

Research topics: Hybrid Quantum Algorithms for Structured Optimization Problems in Process Systems Engineering.

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• Joined in Fall 2024
• B.Eng. Chemical Engineering, Universidad Nacional de Colombia, Manizales, 2017.
• M.Sc. Chemical Engineering, Universidad Nacional de Colombia, Bogotá, 2023.

Research topics: Optimization-aided process synthesis and operations

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• Joined in Fall 2025
• B.S. Chemistry, Dillard University, 2025.
• B.S. Physics, Dillard University, 2025.

Research topics: Quantum Physics Informed Neural Networks

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• Joined in Fall 2025.
• B.Tech. Chemical Engineering, Indian Institute of Technology (IIT) Ropar, 2023.

Research topics: Data-Driven Enhanced Oil Recovery.

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• Joined in Fall 2025.
• B.Sc. Computer Engineering, Purdue University, 2024.

Research topics: Quantum Optimization.

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• Mitchel Papanicolas Family/Del Ray Glass Company Assistant Professor of Chemical Engineering.
• Principal Investigator of SECQUOIA and co-director of Purdue's Center for Operations and Optimization in Process Systems.
• Profile, speaker biographies, and CV.

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