Research Intern - AI & Quantum Computing For Drug Discovery at St. Jude Children's Research Hospital
Boston, Massachusetts, United States
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Summary
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Soham Bopardikar is a quantum-focused research engineer and Master's student in Electrical and Computer Engineering at Northeastern University, with five years of experience applying near-term quantum algorithms to real-world problems in computational chemistry and drug discovery. He interned at IBM Research where he built a pyqubo-Qiskit plugin, encoded protein folding as Ising Hamiltonians, and ran experiments on 127–133 qubit machines using VQE-cVaR and QAOA—work that was published in the ACS Journal of Chemical Theory and Computation. As a Qiskit Advocate and technical writer, he has improved canonical Qiskit textbook material and mentored community projects that bridge quantum algorithms, machine learning, and biomedical imaging. Currently contributing to AI and quantum efforts at St. Jude Children’s Research Hospital, he blends high-performance computing, error mitigation techniques, and resource estimation to push near-term quantum applications toward practical impact. Notably, his work has demonstrated how hybrid classical-quantum pipelines can yield more reliable saliency maps in medical imaging than purely classical approaches.
5 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech(Honors), Electronics and Telecommunication Engineering, Bachelor of Technology - BTech(Honors), Electronics and Telecommunication Engineering at COEP Technological University
10th, Science, 10th, Science at The Bishop's School, Pune
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Northeastern University
12th, Science, 12th, Science at Air Force School Viman Nagar, Pune
Quantum Computing, Quantum Computing at Frontier Technology Institute
[ARCHIVED] A university quantum algorithms/computation course supplement based on Qiskit
Role in this project:
Technical Writer
Contributions:5 commits, 3 PRs, 10 comments in 7 months
Contributions summary:Soham primarily focused on correcting typos and integrating content within the Qiskit textbook. Their work involved fixing minor errors in code examples and documentation across multiple files. Additionally, they contributed to the integration of content related to Shor's algorithm and AC Stark shift, ensuring the completeness and correctness of the textbook's material.
Contributions:2 reviews, 8 commits, 4 PRs in 8 days
Contributions summary:Soham primarily contributed to the Qiskit Textbook repository through documentation updates and corrections. They fixed an incorrect code comment, merged changes, and corrected a link within the documentation. Furthermore, the user addressed inconsistencies in wording, changing instances of "Parametrized" to "Parameterized" and also corrected the wrong matching title in the sidebar and section. This indicates a focus on improving the clarity, accuracy, and consistency of the textbook's content.
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Soham Bopardikar - Research Intern - AI & Quantum Computing For Drug Discovery at St. Jude Children's Research Hospital