Sara Metwalli is a Ph.D. candidate representing Keio University, and she is helping Argonne develop educational content covering quantum, math, and programming subjects for current and future camps. She also works with students participating in the Programming for Science Camp at the lab, teaching them the basics of programming and how to transfer scientific ideas to code. Liking science communications, she wants to make scientific ideas easier to understand and more accessible for everyone.

After earning a Bachelor’s degree in Electrical and Electronics Engineering in Egypt, Sara went to the Tokyo Institute of Technology and received a Master’s degree in Computer Engineering. She is currently pursuing a Ph.D. in quantum computing at Keio University, with a focus on quantum software development. In addition, she works freelance as a technical writer.

Sara is the lead at the Women Who Code Python International Chapter, which has the goal to encourage women in minorities to successfully pursue careers in tech. Outside of her work and studies, she enjoys photography, baking, and all kinds of writing, especially poetry.

Presentations

Sara Ayman Metwalli and Rodney Van Meter. September 2022. A Tool for Debugging Quantum Circuits. IEEE Quantum Week, Broomfield, CO.

Sara Ayman Metwalli, François Le Gall & Rodney Van Meter. October 2020. A Practical Quantum Approach to The k-clique Problem. IEEE Quantum Week, virtual conference.

Metwalli, S. November 2019. Quantum Search with Python and Qiskit. Women Who Code DataPy, Atlanta, GA.

Metwalli, S. August 2019. Programming Quantum Teleportation. Women Who Code CONNECT Asia, Singapore.

Sara Ayman Metwalli and Yuko Hara-Azumi. October 2018. SEA-AC: Symbolic Execution-based Analysis towards Approximate Computing. IEEE MICRO51, Fukuoka, JP.

Sara Ayman Metwalli and Todd Tilma. September 2018. Building an OpenStax-based MATLAB Grader Homework System for a Physics Class. Mathworks Asia Summit, Tokyo, JP.

Sara Ayman Metwalli, Jeffrey Cross & Hideki Mori. June 2016. Going Deep with edX Insights and TokyoTechX First MOOC. Open edX, Stanford University, CA.

Publications

Sara Ayman Metwalli, François Le Gall, Rodney Van Meter (2020). Finding Small and Large k-Clique Instances on a Quantum Computer. IEEE Transactions on Quantum Engineering.

Sara Ayman Metwalli, Yuko Hara-Azumi (2019). SSA-AC: Static Significance Analysis for Approximate Computing. ACM Transactions on Design Automation of Electronic Systems, 24(3), 1.