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Ph.D. in Mechanical Engineering (Summa cum laude)

• Dissertation on quantum computing noise simulation and quantum thermodynamics
• Developed artificial neural networks for thermodynamic properties prediction
• Applied SEAQT framework to model non-equilibrium quantum systems

M.Sc. in Mechanical Engineering

• Thesis on steepest-entropy-ascent quantum thermodynamics (SEAQT) framework
• Modeled spin systems driven out of equilibrium by Hamiltonian quenching
• Compared theoretical models with experimental measurements of entropy generation

B.Sc. in Electromechanical Engineering

• Foundation in classical engineering and computational methods
• Research project: teleoperation of an AL5A robotic arm for remote manipulation (control, real-time communication, and experimental validation); published as "Analysis of elements in local area and remote for teleoperation of AL5A robotic arm" (Prospectiva, 2017)

Postdoctoral Researcher in Quantum Computing

• Solving combinatorial optimization problems using digital and analog quantum computing approaches
• Simulating quantum circuits (up to 43 qubits) on HPC systems (JURECA, JUWELS)
• Cross-platform benchmarking of quantum devices (neutral atoms, superconducting, trapped-ion)
• Developing and testing quantum algorithms on real quantum hardware (IBM, IonQ, Rigetti, D-Wave, Quantinuum), including experiments up to 109 qubits and benchmarking up to 156 qubits
• Characterization of large quantum systems using classical shadows and error mitigation
• Key Contributions
  • Developed the LR-QAOA protocol and tooling for scalable benchmarking of combinatorial optimization across QPUs
  • Developed transfer learning methodology for QAOA reducing classical optimization overhead
  • Created unbalanced penalization technique for better encoding of inequality-constrained problems
  • Published high-impact research on QAOA parameter optimization

OpenQAOA SDK Maintainer

• Maintained and extended OpenQAOA's optimization problems library to simplify benchmarking of QAOA across problem classes
• Delivered core features and problem implementations via upstream PRs (e.g., From Docplex to Ising Model / QUBO: https://github.com/entropicalabs/openqaoa/pull/71; MIS: https://github.com/entropicalabs/openqaoa/pull/208; Portfolio Optimization: https://github.com/entropicalabs/openqaoa/pull/216; VRP: https://github.com/entropicalabs/openqaoa/pull/224)
• {"Supported by a Unitary Fund grant (Q1 2023)"=>"https://unitary.foundation/posts/2023_q1/"}

Qiskit Advocate & Mentor

• Added functionalities to the BasicAer backend (Mentor Kevin Sung)
• Developed applications for Qiskit Optimization library and benchmarking tools (Mentor Takashi Imamichi)
• Contributing member of IBM Quantum community

OpenQAOA

• SDK maintainer - Quantum optimization library by Entropica Labs

Metriq-Gym

• Added an LR-QAOA benchmarking protocol for collecting and publishing QPU benchmarks

LR-QAOA

• Linear ramp QAOA implementation and research code

Qiskit

• Contributor to IBM's quantum computing framework

PennyLane

• Contributions to quantum machine learning library

D-Wave Ocean SDK

• Quantum annealing tools and applications

• IBM Quantum Developer Conference (QDC25) - Overall Challenge Winner (Track B)
• QDC25 Winner - Maximum Independent Set Problem challenge
• QDC25 Winner - Quantum Approximate Multi-Objective Optimization (QAMOO) challenge
• Team with Harshit Gupta, Pablo Viñas Martinez, and Daniel Sierra-Sosa
• Unitary Fund Grant to further develop and test LR-QAOA quantum benchmarking (https://unitary.foundation/posts/2025_q1/)

• IBM Quantum Developer Conference (QDC24) Winner

• Unitary Fund Grant to simplify benchmarking of optimization problems in OpenQAOA (https://unitary.foundation/posts/2023_q1/)
• QHack 2023 Winner - Quantum Computing Today and Amazon Braket challenges
• Project Enhancing Portfolio Optimization Solutions - Advanced encoding of constrained optimization problems (https://github.com/alejomonbar/quantum-portfolio-optimization-encoding)

• Ph.D. Summa cum laude - University of Guanajuato
• QHack 2022 Winner - Financial, QAOA, and Entrepreneur challenges
• Quantum Counselor for Portfolio Investment - Quantum-based forecasting and optimization tool (https://github.com/alejomonbar/Quantum-Counselor-for-Portfolio-Investment)

• IBM Qiskit Advocate