Francisca Vasconcelos

CS PhD @ UC Berkeley Theory Group and BAIR Lab.


francisca @

I am a PhD student and NSF Graduate Research Fellow in the UC Berkeley Department of Electrical Engineering and Computer Science. I am co-advised by Profs Michael Jordan and Umesh Vazirani. My research interests lie at the intersection of quantum computation and machine learning theory.

In 2020, I received a BS in EECS and Physics from MIT, where I was fortunate to do substantial undergraduate research advised by Prof. William Oliver in the MIT Engineering Quantum Systems group. As an undergraduate, I also interned under Dr. Marcus da Silva at Rigetti Computing and Microsoft Research Quantum. Supported by a Rhodes Scholarship, I received two masters from the University of Oxford: an MSc in Statistical Sciences and MSt in Philosophy of Physics. Following from the MSc, I performed statistical ML research in the OxCSML group, advised by Prof. Yee Whye Teh.

I am also the Founding Academic Director of the Qubit x Qubit (QxQ) initiative of The Coding School (TCS) non-profit. Since 2019, we have trained 20,000+ diverse K-12 students, undergraduates, and members of the workforce worldwide in the fundamentals of quantum computing and QISE.

selected publications

  1. spie_qed.jpg
    Why Quantum Education?
    Francisca Vasconcelos
    SPIE Photonics Focus, May 2023
  2. uncertainr.png
    UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography
    Francisca Vasconcelos, Bobby He, Nalini Singh, and Yee Whye Teh
    Transactions on Machine Learning Research (TMLR), May 2023
  3. cosmic.jpg
    Impact of ionizing radiation on superconducting qubit coherence
    Antti P Vepsäläinen, Amir H Karamlou, John L Orrell, Akshunna S Dogra, Ben Loer, Francisca Vasconcelos, and 7 more authors
    Nature, May 2020
  4. gen_photon.jpg
    Generating spatially entangled itinerant photons with waveguide quantum electrodynamics
    Bharath Kannan, Daniel L Campbell, Francisca Vasconcelos, Roni Winik, David K Kim, Morten Kjaergaard, and 7 more authors
    Science advances, May 2020