Teaching & Mentoring

Mentoring philosophy

My approach to mentoring rests on three principles. Individualized development: I work with each trainee to identify their interests, strengths, and longer-term goals, and tailor the project and the level of supervision accordingly. Balanced expertise: I expect students in my group to grow simultaneously in experimental practice, theoretical understanding, and computational fluency, with the balance shifting as their projects mature. Scientific communication: trainees learn early to present their work in group meetings, writing, and conference talks, with regular structured feedback.

Current and recent mentoring

• MIT (2025–present): Supervising trainees within the Quantum Photonic & AI Group on integrated nonlinear and quantum photonics, hybrid 2D-photonic devices, and AI-augmented photonic design.

• Joint Quantum Institute / University of Maryland (2022–2025): Mentored more than ten students across cryogenic and room-temperature experimental platforms, including dilution-refrigerator photoluminescence, four-wave-mixing spectroscopy, and microcavity-based light–matter coupling. Managed more than eight experimental setups spanning low-temperature spectroscopy, Hanbury Brown–Twiss interferometry, and integrated nonlinear photonic characterization.

• University of Sheffield (2017–2022): Graduate Teaching Assistant for the Quantum Information Laboratory; supervised MSc and PhD students working on chiral and topological photonic devices.

Interests

I am eager to contribute to undergraduate and graduate teaching in quantum electronics, integrated photonics, materials synthesis and characterization, and AI-augmented photonic design — including developing project-based courses that combine theoretical foundations with hands-on simulation and fabrication.