2-members.md

title	Members
layout	page
description	SECQUOIA Group Members.
image	assets/images/group2024.jpg
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Jump to Section

• Post-doctoral Fellows
• Doctoral Students
• Master's Students
• Visiting Scholars
• Undergraduates
• Principal Investigator
• Alumni

Post-doctoral fellows

Carolina Tristan

• Joined in Jan 2024.
• Ph.D. Chemical Engineering, University of Cantabria, 2023.

Research topics: Superstructure Optimization, Generalized Disjunctive Programming, Process System Engineering.

• LinkedIn
• GitHub
• Email
• ORCID

Hamta Bardool

• Joined in Summer 2024.
• Ph.D., Chemical Engineering, Purdue University/Shiraz University, 2023.

Research topics: Reactor and catalysis modeling, simulation, and optimization.

• LinkedIn
• GitHub
• Email
• ORCID

Doctoral students

Albert Lee

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

Research topics: Superstructure Optimization, Generalized Disjunctive Programming.

• LinkedIn
• GitHub
• Email
• ORCID

Anurag Ramesh

• 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.

• LinkedIn
• GitHub
• Email
• ORCID

Yirang Park

• 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.

• LinkedIn
• GitHub
• Email
• ORCID

Pedro Maciel Xavier

• Joined in Fall 2024. Visiting Scholar during Fall 2023.
• B.Eng. Computer & Information Engineering, Federal University of Rio de Janeiro, 2022.
• B.Sc. Mathematics, Federal University of Rio de Janeiro, 2022.

Research topics: Operations Research, Quantum Optimization

• LinkedIn
• GitHub
• Email
• ORCID

Sergey Gusev

• 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.

• LinkedIn
• GitHub
• Email

Andres F. Cabeza

• 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

• LinkedIn
• GitHub
• Email
• ORCID

Master's students

Woosik Kim

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

Research topics: Quantum Optimization.

• LinkedIn
• GitHub
• Email

Visiting scholars

Mateo Huertas Marulanda

• Joined in Spring 2025.
• B.Sc. Chemical Engineering, National University of Colombia, 2025.

Research topics: Process Control, Machine Learning and Optimization.

• LinkedIn
• GitHub

Daniel Anoruo

• Joined in Summer 2025.
• B.Sc. Computer Science, Towson University, expected 2026.

Research topics: Federated Learning, Machine Learning, Quantum Computing

• LinkedIn
• GitHub

João Victor Paim

• Joined in Fall 2025.
• B.Eng. Computer Engineering, Military Institute Of Engineering, expected 2026.

Research topics: Machine Learning, Quantum Computing, Optimization

• GitHub
• LinkedIn
• Email

Undergraduates

Alexander (AJ) Collins

• Joined in Spring 2025.
• B.Sc. Integrated Business and Engineering, Purdue University, expected May 2027.

Research topics: Marketing and Business Analytics.

• LinkedIn
• GitHub
• Email

Ben Murray

• Joined in Spring 2024.
• B.Sc. Chemical Engineering, Purdue University, expected May 2025.

Research topics: Optimization of reliability design.

• LinkedIn
• GitHub

Akshay Mahajan

• Joined in Spring 2025.
• B.Sc. Chemical Engineering, Purdue University, expected May 2026.

Research topics: Process Systems Machine Learning.

• LinkedIn
• GitHub
• Email

Sai Karthik

• Joined in Spring 2025.
• B.Sc. Biomedical Engineering, Purdue University, expected December 2026.

Research topics: Pharmaceutical Process Synthesis and Optimization.

• LinkedIn
• GitHub
• Email

Alan Yi

• Joined in Summer 2025.
• B.Sc. Computer Science, Purdue University, expected May 2027.

Research topics: Quantum Federated Learning for Biomedical Applications.

• LinkedIn
• GitHub
• Email

Azain Khalid

• Joined in Summer 2025.
• B.Sc. Computer Science, Purdue University, expected May 2028.

Research topics: Quantum Integer Programming and Machine Learning

• LinkedIn
• GitHub
• Email
• ORCID

Principal Investigator

David E. Bernal Neira

• Started officially in Fall 2023.
• Main information.

• LinkedIn
• Email
• GitHub
• ORCID

Alumni

Postdoctoral fellows

• 2024. Zedong Peng. MIT. LinkedIn GitHub ORCID

• 2024. Amandeep Singh Bhatia. North Carolina State University. LinkedIn GitHub

Visiting scholars

• 2024. Iago Leal de Freitas. Federal University of Rio de Janeiro. GitHub LinkedIn

• 2024. André Lima Alambert. University of Sao Paulo. GitHub LinkedIn ORCID

• 2024. Andres F. Cabeza. Purdue University. GitHub LinkedIn ORCID

• 2024. Juan S. Rodríguez F. AgroParisTech Université Paris-Saclay. GitHub ORCID

• 2023. Pedro Maciel Xavier. Purdue University. GitHub LinkedIn ORCID

Undergraduates

• 2024. Sergio Barrios. Imperial College London. LinkedIn GitHub

• 2024. Dhruv Mendpara. Purdue University. LinkedIn GitHub

• 2024. Lukas Peng. Purdue University. LinkedIn GitHub

• 2024. Keegan Duffin. Purdue University. LinkedIn GitHub

• 2024. Dale Stager. Purdue University. LinkedIn GitHub

• 2024. Abigail Delaney. Imperial College London. LinkedIn GitHub

Our Members' Locations

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