CV

Education

• Ph.D. in Computer Science, University of Chicago, 2025–2029 (expected)
  • Advisor: Fred Chong
• M.S. in Computer Science (Joint BA/MS), University of Chicago, 2024–2025
• B.A. in Computer Science and B.A. in Economics, University of Chicago, 2021–2025
  • Cumulative GPA: 3.8/4.0

Publications and Preprints

Toward Quantum-Enabled Biomarker Discovery: An Outlook from Q4Bio

Shah, D., Teo, M., Robinett, R. A., Madejski, S., Morrell, Z., Ramesh, S., Campbell, C., Thotakura, B., Omole, V., Hall, B., Harrow, A. W., Tomesh, T., Pearson, A. T., Chong, F. T., & Riesenfeld, S. J. (2025). "Toward Quantum-Enabled Biomarker Discovery: An Outlook from Q4Bio." arXiv, arXiv:2509.25904.

Noisy Quantum Simulation Using Tracking, Uncomputation and Sampling

Dangwal, S., Oberoi, T., Sailopal, A., Shah, D., & Chong, F. T. (2025). "Noisy Quantum Simulation Using Tracking, Uncomputation and Sampling." arXiv, arXiv:2508.04880.

Circuit decompositions and scheduling for neutral atom devices with limited local addressability

Nottingham, N., Perlin, M. A., Shah, D., White, R., Bernien, H., Chong, F. T., & Baker, J. M. (2024). "Circuit decompositions and scheduling for neutral atom devices with limited local addressability." IEEE International Conference on Quantum Computing and Engineering (QCE).

YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs

Zhou, C., Hassman, Z., Shah, D., Richard, V., & Li, Y. (2024). "YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs." CC 2024, pp. 212–226.

Applicability of Clay/Organic Clay to Environmental Pollutants: Green Way—An Overview

Qi, J., Yu, J., Shah, K. J., Shah, D. D., & You, Z. (2023). "Applicability of Clay/Organic Clay to Environmental Pollutants: Green Way—An Overview." Applied Sciences, 13(16):9395.

Work experience

• Summer 2024: Software Engineering Intern
  • AlphaSense
  • Built a Rails/Vue service to streamline expert–investor matching and a Chrome extension used by ~150 analysts; won a company-wide hackathon with a production email management system.
• Summer 2023: Quantum Software Engineering Intern
  • Infleqtion
  • Deployed Superstaq server and client services on AWS; created machine endpoints for launch; collaborated with Morningstar on notebooks for tracking error, tax-loss harvesting, and anomaly detection; trained a Quantum SVM for credit-card fraud demos.
• Summer 2022: Summer Analyst
  • Darwin Venture Management
  • Evaluated 300+ startup pitches; conducted diligence, DCF/ROI analyses, and post-money valuations; presented an investment memo that led to an acquisition.

Skills

• Programming: Python, C, C++, Java, Rust, SQL, React, HTML, CMake, Ruby on Rails
• Quantum/ML: Qiskit, Cirq, PyTorch, scikit-learn, NumPy/Pandas
• Platforms/Tools: Linux, AWS, Jupyter, Git
• Languages: English, Mandarin, Hindi, Gujarati

Service and leadership

• Teaching Assistant & Grader (CMSC 14200, 22000, 23710), University of Chicago (2023–2025)
• Taiwan National Team (U-20) & Tatung FC (2019–2021) — youngest foreign player, AFC Champions League qualifying campaign
• Honors: NCAA All-American Scholar Athlete (2021–2024); UAA All-Academic Team (2021–2024)