Experience
Jan 2022 - Dec 2025
4 yearsHybrid
- Designed hybrid algorithms combining tensor networks and neural networks for quantum state approximation.
- Led a cross-disciplinary team of Ph.D. candidates and postdocs in developing simulation frameworks for quantum circuits.
- Received the Stanford Graduate Fellowship in Science & Engineering.
Jan 2021 - Present
4 years 11 months
- Consulted for tech startups and research labs on algorithmic optimization, predictive analytics, and software design.
- Created custom data-driven models for environmental, financial, and medical systems.
- Delivered reproducible research codebases for scientific analysis.
Jan 2019 - Dec 2021
3 years
- Conducted deep learning experiments integrating reinforcement learning with stochastic models.
- Developed open-source libraries for efficient matrix computation in large-scale AI simulations.
- Co-authored papers on computational symmetry and model predictability.
Jan 2017 - Dec 2025
9 years
- Led workshops on advanced calculus, differential equations, and computational modeling.
- Mentored undergraduate and master’s students in research project design and academic publishing.