Students, get ready to turbocharge your career with our exclusive speed mentoring session.
Join us Wednesday, 18 September from 10:00 – 11:30 am in Room 725
Meet ‘speed dating’ style in small groups with professionals to ask advice and get insights you can apply in navigating your own career journey.
Space is limited, so make sure to secure your spot by arriving early.
This session is sponsored by
Ariana Torres-Knoop currently leads the Quantum Computing efforts at SURF where she was previously an HPC and Quantum advisor. She has a BsC in physics from the National Autonomus University of Mexico, as well as a joint MsC in Atomic Scale Simulation from ENS-Lyon and the University of Amsterdam, and a PhD (cum-laude) in computational chemistry/physics from the University of Amsterdam.
Isabelle Viarouge is currently employed as a quantum developer at the AlgoLab in Sherbrooke. She received an MSc in Physics from McGill and an MSc in Machine Learning from UDEM & MILA. She worked on deep learning optical device design optimization as an intern in the Advanced Electronics and Photonics group of the National Research Council of Canada and researched deep learning inductor design optimization in collaboration with Université Laval, CERN and EPFL.
Sebastian Stern is a Senior Quantum Specialist Solutions Architect at AWS, based in Munich, Germany. He helps customers to explore and build quantum solutions on Amazon Braket, the quantum computing cloud service of AWS. Sebastian studied Physics at the Technical University of Munich and earned his PhD at the Max-Planck-Institute for Physics. He spent several years in academia in the field of High Energy Physics and researched in the Higgs boson working group at the LHC at CERN.
Joey Xiaoyuan Liu is a research scientist in the Quantum Lab at Fujitsu Research of America. She received her PhD in computer science from the University of Delaware. Her research centers on the challenges of utilizing noisy intermediate-scale quantum computers for practical problems, with a focus on optimization and machine learning. 
Boris Albrecht works as hardware engineer on a quantum processing unit in the R&D department at Pasqal. He completed a PhD and a postdoc in quantum optics with both cold and warm atoms on the subject of quantum repeaters. He then joined a wavefront-sensing technology company for a few years before joining Pasqal. 
Dario Rocca is a Staff Scientist at QC Ware in Palo Alto, CA, USA, specializing in consulting on quantum algorithms for materials and chemistry. A former professor at the Université de Lorraine (Nancy, France), he has published about 70 papers on the simulation of chemical systems based on first-principles methods, machine learning, and quantum computing. He holds a PhD in Physics from the International School for Advanced Studies in Trieste, Italy.
As a Roadmap Leader at Qblox, Francesco Battistel works on the company’s strategy and product roadmap to enable fault-tolerant quantum computing through scalable quantum control stacks. Francesco completed his PhD in TU Delft, Netherlands, where he worked on quantum error correction, with a tight collaboration with experimental research on superconducting qubits. 
Athena Caesura is a quantum applications scientist at PsiQuantum, specializing in quantum resource estimation. She earned her graduate degree at the University of Waterloo, where she was advised by Joseph Emerson and Joel Wallman on applying Randomized Benchmarking to Quantum Error Correction. After that, she moved on to Zapata Computing, where she built lattice surgery compilers for use in quantum resource estimation for the DARPA QB project.
Dr Amal Khabou is a Research Scientist in the data science and high-performance computing group at Hydro Quebec. She has an Msc in computer science from the University of Bordeaux 1 and a PhD in computer science from the University of Paris-Sud. Previously, she held a research scientist position at the University of Manchester, UK, and associate professor of computer science at the University of Paris-Saclay, France.
