Distinguished Speakers
Jerome Busemeyer
Indiana University BloomingtonDistinguished Professor and Provost Professor, Psychological and Brain Sciences.
Bob Coecke
QuantinuumIn addition to his post as Chief Scientist, Professor Coecke leads Quantinuum’s Oxford-based Quantum-Compositional Intelligence research team. The team’s research efforts include work in Quantum Computational Linguistics (QCL) and its practical implementation, Quantum Natural Language Processing (QNLP). Bob is Distinguished Visiting Research Chair at Perimeter Institute for Theoretical Physics, Emeritus Professor at Wolfson College, Oxford University, and a Visiting Fellow at the Computer Science Department and the Mathematical Institute of Oxford University.
Keynote Speakers
Samuel Yen-Chi Chen
Wells FargoSince embarking on his doctoral journey, Samuel Yen-Chi Chen has been dedicated to exploring the intricate relationship between classical and quantum computing in the context of AI. Hisresearch primarily focuses on creating AI agents that excel in solving diverse challenges while prioritizing information security in their implementation.
Swati Gupta
Massachusetts Institute of TechnologySwati Gupta is an Associate Professor at the MIT Sloan School of Management in OR & Statistics and a Class of 1947 Career Development Professor. She is a core faculty member of the Operations Research Center, and affiliated with LIDS and CCSE. She received a Ph.D. in Operations Research from MIT and was fortunate to be advised by Michel Goemans and Patrick Jaillet. She holds a joint Masters and B.Tech in Computer Science from IIT Delhi.
Giacomo Nannicini
University of Southern CaliforniaGiacomo Nannicini is an Associate Professor in the Daniel J. Epstein department of Industrial & Systems Engineering, with a courtesy appointment in the Ming Hsieh department of Electrical & Computer Engineering in the USC School of Advanced Computing. His main research and teaching interest is optimization, broadly defined, and its applications. He is interested in algorithms, software and models of computation, including quantum computing.
Ken Robbins
D-Wave SystemsKen Robbins is a technical advisor at D-Wave Systems where he helps businesses realize potential through quantum-powered optimization. He functions as the technical half of a sales team; if he can’t answer your questions he knows someone who can! Before working at D-Wave, Ken got his doctorate in physics, focusing on quantum computing algorithms, from Tufts University.
Invited Speakers
Shouvanik Chakrabarti
JPMorganChaseShouvanik Chakrabarti is an Applied Research Director at the Global Technology Applied Research Center of JPMorganChase, where he leads research efforts in the theory of quantum algorithms. His research aims to understand and develop the potential for quantum algorithmic advantage in industrial computational applications that are not directly connected to the natural sciences, with a special emphasis on applications within the financial industry. He received his Ph.D. in Computer Science from the University of Maryland at College Park, where he was fortunate to be advised by Prof. Xiaodi Wu. His secondary research interest is the application of advanced classical algorithms to problems in quantitative finance, optimization, and machine learning.
Rebekah Herrman
University of Tennessee, KnoxvilleRebekah Herrman is an Assistant Professor in the Industrial and Systems Engineering department at the University of Tennessee Knoxville. She received her PhD in mathematics in 2020 from the University of Memphis with a focus in combinatorics. While there, she studied graph theory games and optimization problems on graphs. She is a class of 2022 DARPA FORWARD Riser, a 22-23 APS Career Mentoring Fellow, and her work is currently supported by the National Science Foundation. Aside from graph theory, her current research interest is quantum machine learning applied to combinatorial optimization problems.
Hyeok Kim
University of WashingtonHyeok Kim is a Postdoc at the Paul G. Allen School of Computer Science & Engineering, University of Washington. His research aims at bringing complicated computing technologies to creators, developers, and designers with varying levels of expertise. His work has introduced novel techniques for designing data visualizations on multiple device types, creating data sonification, and programming for quantum computing. His work has been published at top visualization and HCI venues, including ACM CHI, CSCW, IEEE VIS, and EuroVis. Hyeok holds his Ph.D. in Computer Science from Northwestern University, an M.A. in Communication, and a B.A. in Linguistics from Seoul National University.
Gokul Ravi
University of MichiganGokul Ravis is an Assistant Professor in the Computer Science and Engineering (CSE) Division of the EECS Department, at the University of Michigan. His research primarily focuses on quantum computing, and he leads the Computer Architecture For Quantum Advantage (CAFQA) Lab. Additionally, he is a Fellow of the UM Quantum Research Institute (QRI) and affiliated with the Michigan Institute for Computational Discovery and Engineering (MICDE).
Ruizhe Zhang
Purdue UniversityRuizhe Zhang is an assistant professor in the Department of Computer Science at Purdue University. Prior to joining Purdue, he was a Simons Quantum Postdoctoral Fellow at Simons Institute for the Theory of Computing at University of California, Berkeley (hosted by Prof. Umesh Vazirani and Prof. Lin Lin) and a Visiting Scholar at the Institute for Pure and Applied Mathematics (IPAM), UCLA for the long program Mathematical and Computational Challenges in Quantum Computing. He received his Ph.D. in Computer Science from the University of Texas at Austin in 2023, where he was very fortunate to be advised by Dana Moshkovitz.