About Me

• I am a Physics Ph.D. student at the University of Waterloo.
• My PhD supervisors are Juan Felipe Carrasquilla and Roger Melko.
• I am an affiliated graduate researcher at Los Alamos National Laboratory and at Vector Institute in Toronto (Sep-Dec 2023).
• I am a visiting graduate researcher at Jens Eisert’s group at Freie University in Berlin (Jan-Apr 2024)
• My research interests lie at the intersection of machine learning and Physics, in particular quantum learning theory, quantum-enhanced machine learning and applications of classical machine learning in many-body Physics.
• In the past, I have worked on:
  • Quantum learning theory
  • QML algorithms for NISQ devices
  • Majorana Fermions for topological quantum computing
  • quantum transport in transition metal dichalcogenides (TMDCs)
  • quantum optical effects in color centers in diamond
  • Cavity Quantum Electrodynamics (CQED) and spectroscopy in quantum wells and quantum dots

Community Engagement

• Host of QML meet up: Amira Abaas, I and Antal Szava host QML researchers and discuss cutting-edge research contributions.
• Mentor: QOSF mentorship program 2020
• Keynote speaker: Canadian Conference for Undergraduate Women in Physics(CCUWIP) Toronto 2020
• Speaker: Physics camp for Girls 2021
• Speaker: International Women’s Day Conference 2022

Academic Services

• Journal Reviewer:
  • QTML 2023, QTML 2022, QTML 2021, QTML 2020
  • PRX Quantum
  • PRL
• Software contributions:
  • PennyLane
  • Strawberry Fields
• Patent:
  • Co-inventor with Seth Lloyd and Maria Schuld: US Patent Application 17,118,004 “APPARATUS AND METHODS FOR QUANTUM COMPUTIING WITH PRE TRAINING”