Speakers
The speaker list will continue to be updated as we get closer to the workshop.
Aleksandra Faust, Google
Research Scientist in Google Brain Team working in scalable autonomy, navigation and reinforcement learning. See www.afaust.info
Andrea Lodi, Cornell University
Andrea Lodi is an Andrew H. and Ann R. Tisch Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion. He is a member of the Operations Research and Information Engineering field at Cornell University. He received his PhD in System Engineering from the University of Bologna in 2000 and he was a Herman Goldstine Fellow at the IBM Mathematical Sciences Department, NY in 2005–2006. He was a full professor of Operations Research at DEI, the University of Bologna between 2007 and 2015. Since 2015, he has been the Canada Excellence Research Chair in “Data Science for Real-time Decision Making” at Polytechnique Montréal. His main research interests are in Mixed-Integer Linear and Nonlinear Programming and Data Science and his work has received several recognitions including the IBM and Google faculty awards. Andrea is the recipient of the INFORMS Optimization Society 2021 Farkas Prize. He is the author of more than 100 publications in the top journals of the field of Mathematical Optimization and Data Science. He serves as Editor for several prestigious journals in the area. He has been the network coordinator and principal investigator of two large EU projects/networks, and, since 2006, consultant of the IBM CPLEX research and development team. Andrea Lodi is the co-principal investigator of the project “Data Serving Canadians: Deep Learning and Optimization for the Knowledge Revolution,” recently funded by the Canadian Federal Government under the Apogée Programme and scientific co-director of IVADO, the Montréal Institute for Data Valorization.
Andrew Tomkins, Google
I'm a Google researcher with interests in urban mobility simulation and optimization.
Bilge Atasoy, Delft University of Technology
Bilge is an assistant professor in Transport Engineering and Logistics at TU Delft. Her research interests lie in optimization and learning models for transport and logistics problems. Prior to joining TU Delft, Bilge worked first as a postdoctoral associate and then as a research scientist at MIT, with Prof. Moshe Ben-Akiva in the ITS Lab. She managed research projects in the areas of real-time optimization, travel behavior and choice-based optimization. She received her PhD from EPFL in 2013.
Bo Dai, Google
Bo is a senior research scientist in Google Brain, working on reinforcement learning and optimization.
Carolina Osorio, Google / HEC Montreal
Research Scientist at Google. Associate Professor at HEC Montreal, where Osorio holds the SCALE AI Research Chair in Artificial Intelligence for Urban Mobility and Logistics. Osorio's recognitions include a US NSF CAREER Award, an MIT CEE Maseeh Excellence in Teaching Award, an MIT Technology Review EmTech Colombia TR35 Award, an IBM Faculty Award and a European Association of Operational Research Societies (EURO) Doctoral Dissertation Award.
Chih-wei Hsu, Google
Chih-Wei Hsu is a software engineer at Google Research. His current research focuses on exploration algorithms, simulation methods, and applications in recommender systems.
Craig Boutilier, Google
Research Scientist, focus on recommenders, user modeling, RL, simulation.
Damien Pierce, Google
I've worked on analyzing disruptions in Jakarta and will be working on fire evacuation simulations.
Dawn Woodward, Uber
Dr. Woodard leads science for platforms including Uber Maps; the team’s technologies include map search, routing, and navigation. She was previously a professor of statistics and operations research at Cornell, where she developed forecasting methods for emergency vehicle fleets. After receiving tenure she joined Microsoft Research, creating methods for use in Bing Maps. She then transitioned to Uber, leading modeling for the pricing and matching teams before moving to her current role.
Jane Macfarlane, UC Berkeley Institute Transportation Studies
As the Director of Smart Cities and Sustainable Mobility at UCB Institute Transportation Studies, I have most recently been working on modeling large urban regions using parallel discrete event simulation on HPC. We model regions the size of the entire Bay Area and all of Los Angeles Basin. Our analytics focus on optimization and control for reducing congestion, with an emphasis on equity and quality of life for those impacted by congestion.
Joseph Chow, New York University
Joseph Chow is an Institute Associate Professor at NYU Tandon School of Engineering’s Civil and Urban Engineering Department with affiliations at CUSP and Rudin Center for Transportation Policy & Management. Dr. Chow received his PhD ('10) at UC Irvine and his MEng (’01) and BS (’00) at Cornell University.
Kostas Kollias, Google
Kostas received his PhD (in algorithmic game theory) from Stanford in 2015 and has been a Research Scientist at Google since.
Lisa Wang, Google
Research Engineer @DeepMind working on Graph Neural Networks.
M. Grazia Speranza, University of BresciaM. Grazia Speranza is full professor of Operations Research at the University of Brescia, where she served as Dean of the Faculty of Economics and Business and Deputy Rector. She is currently President of IFORS (International Federation of the Operational Research Societies) and a former President of EURO (association of European Operational Research Societies) and of TSL (Transportation Science and Logistics society of INFORMS). As EURO President she founded the EURO Journal on Transportation and Logistics, the EURO Journal on Computational Optimization and the EURO Journal on Decision Processes. Grazia’s research focuses on mixed integer programming and combinatorial optimization with applications to transportation, supply chain management, scheduling and portfolio selection. She models real problems, designs exact and heuristic algorithms, and applies worst-case analysis to off-line problems and competitive analysis to on-line problems. Recent research is oriented towards the study of routing problems enabled by technological developments. Grazia is author of about 200 papers that appeared in international journals and volumes. She has been plenary speaker at several international conferences and member of the scientific committee of the major international conferences in the field. She was visiting professor at the London School of Economics and at Brunel University during her sabbatical and has given talks and seminars at many universities around the world. She has been guest editor of special issues of journals, editor of several international journals and is co-editor-in-chief of the series of books ‘EURO Advanced Tutorials in Operational Research’. Grazie has been a member of many evaluation committees, including the European Research Council (ERC) mathematics panel. She is included in https://100esperte.it/ and in the book ‘100 donne contro gli stereotipi per la scienza', Egea, 2017 as one of the best 100 Italian women in the STEM area. In 2019 she was awarded with the Laurea honoris causa by the University of Freiburg, Switzerland. She is a member of the Academy of Sciences of the University of Bologna.
Matthew Fahrbach, Google
Research Scientist on the Algorithms and Optimization team, focusing on large-scale optimization and machine learning.
Neda Masoud, University of Michigan Ann Arbor
Neda Masoud is an Assistant Professor of Civil and Environmental Engineering at the University of Michigan. She received her PhD in Civil and Environmental Engineering from University of California Irvine. Her research focuses on devising operational and planning tools to facilitate the transition into the next generation of mobility systems, which are envisioned to be connected, automated, electrified, and shared.
Neha Arora, Google
Neha is the Engineering Manager of the Spacetime Simulation team at Google Research. Our mission is to build high quality traffic simulations to optimize transportation networks holistically towards the goals of improving congestion and emissions.
Özlem Ergun, Northeastern University
Dr. Özlem Ergun is a professor and the Associate Chair for Graduate Affairs in Mechanical and Industrial Engineering at Northeastern University. Dr. Ergun’s research focuses on design and management of large-scale and decentralized networks. She has applied her work on network design, management, and resilience to problems arising in many critical systems including transportation, pharmaceuticals, and healthcare.
Pravin VARAIYA, University of California, Berkeley
His current research is in transportation networks and electric energy systems.
Rose Yu, University of California, San Diego
Rose Yu is assistant professor at UC San Diego department of Computer Science and Engineering and Halıcıoğlu Data Science Institute. Her research interests lie primarily in machine learning, especially for large-scale spatiotemporal data. She is generally interested in deep learning, optimization, and spatiotemporal reasoning. Her work has been applied to learning dynamical systems in sustainability, health and physical sciences.
Sanjay Ganapathy Subramaniam, Googler
Software Engineer in Spacetime team
Shane Henderson, Cornell University
Professor Shane G. Henderson holds the Charles W. Lake, Jr. Chair in Productivity in the School of Operations Research and Information Engineering (ORIE) at Cornell University. His research interests include discrete-event simulation, simulation optimization, emergency services planning and transportation. He is the editor in chief of the open-access journal Stochastic Systems. He is an INFORMS Fellow and a co-recipient of the INFORMS Wagner Prize for his work on bike-sharing programs.
Stefan Mellem, Google
Stefan Mellem is a software engineer working to improve public health and well-being with on-device intelligence, while safeguarding privacy. His primary research interests are differential privacy, federated computation, and secure multiparty computation, and he is currently working to apply these technologies to epidemiology and road safety.
Vincent Furrnon, Google
Technical Lead Manager in the Operations Research team, working on vehicle routing optimization.
Yafeng Yin, University of Michigan
Dr. Yafeng Yin is a Professor of Civil and Environmental Engineering and a Professor of Industrial and Operations Engineering at University of Michigan, Ann Arbor. He works in the area of transportation systems analysis and modeling, and has published more than 120 refereed papers in leading academic journals. His current research focuses on connected and automated mobility systems.
Yan Liu, University of Southern California
Yan Liu is a Professor in the Computer Science Department and the Director of Machine Learning Center at University of Southern California. She received her Ph.D. degree from Carnegie Mellon University. Her research interest is machine learning and its applications to health care, sustainability and social network analysis.
Yueyue Fan, CUniversity of California, Davis
Dr. Fan is a professor in Civil and Environmental Engineering at University of California, Davis. She is also a faculty member in graduate programs of Applied Mathematics and Business Analytics. Her current research topics include adaptive network routing and design, stochastic transportation and energy infrastructure system optimization, non-cooperative games over networks, and network information acquisition and identification.
Research Scientist in Google Brain Team working in scalable autonomy, navigation and reinforcement learning. See www.afaust.info
Andrea Lodi, Cornell University
Andrea Lodi is an Andrew H. and Ann R. Tisch Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion. He is a member of the Operations Research and Information Engineering field at Cornell University. He received his PhD in System Engineering from the University of Bologna in 2000 and he was a Herman Goldstine Fellow at the IBM Mathematical Sciences Department, NY in 2005–2006. He was a full professor of Operations Research at DEI, the University of Bologna between 2007 and 2015. Since 2015, he has been the Canada Excellence Research Chair in “Data Science for Real-time Decision Making” at Polytechnique Montréal. His main research interests are in Mixed-Integer Linear and Nonlinear Programming and Data Science and his work has received several recognitions including the IBM and Google faculty awards. Andrea is the recipient of the INFORMS Optimization Society 2021 Farkas Prize. He is the author of more than 100 publications in the top journals of the field of Mathematical Optimization and Data Science. He serves as Editor for several prestigious journals in the area. He has been the network coordinator and principal investigator of two large EU projects/networks, and, since 2006, consultant of the IBM CPLEX research and development team. Andrea Lodi is the co-principal investigator of the project “Data Serving Canadians: Deep Learning and Optimization for the Knowledge Revolution,” recently funded by the Canadian Federal Government under the Apogée Programme and scientific co-director of IVADO, the Montréal Institute for Data Valorization.
Andrew Tomkins, Google
I'm a Google researcher with interests in urban mobility simulation and optimization.
Bilge Atasoy, Delft University of Technology
Bilge is an assistant professor in Transport Engineering and Logistics at TU Delft. Her research interests lie in optimization and learning models for transport and logistics problems. Prior to joining TU Delft, Bilge worked first as a postdoctoral associate and then as a research scientist at MIT, with Prof. Moshe Ben-Akiva in the ITS Lab. She managed research projects in the areas of real-time optimization, travel behavior and choice-based optimization. She received her PhD from EPFL in 2013.
Bo Dai, Google
Bo is a senior research scientist in Google Brain, working on reinforcement learning and optimization.
Carolina Osorio, Google / HEC Montreal
Research Scientist at Google. Associate Professor at HEC Montreal, where Osorio holds the SCALE AI Research Chair in Artificial Intelligence for Urban Mobility and Logistics. Osorio's recognitions include a US NSF CAREER Award, an MIT CEE Maseeh Excellence in Teaching Award, an MIT Technology Review EmTech Colombia TR35 Award, an IBM Faculty Award and a European Association of Operational Research Societies (EURO) Doctoral Dissertation Award.
Chih-wei Hsu, Google
Chih-Wei Hsu is a software engineer at Google Research. His current research focuses on exploration algorithms, simulation methods, and applications in recommender systems.
Craig Boutilier, Google
Research Scientist, focus on recommenders, user modeling, RL, simulation.
Damien Pierce, Google
I've worked on analyzing disruptions in Jakarta and will be working on fire evacuation simulations.
Dawn Woodward, Uber
Dr. Woodard leads science for platforms including Uber Maps; the team’s technologies include map search, routing, and navigation. She was previously a professor of statistics and operations research at Cornell, where she developed forecasting methods for emergency vehicle fleets. After receiving tenure she joined Microsoft Research, creating methods for use in Bing Maps. She then transitioned to Uber, leading modeling for the pricing and matching teams before moving to her current role.
Jane Macfarlane, UC Berkeley Institute Transportation Studies
As the Director of Smart Cities and Sustainable Mobility at UCB Institute Transportation Studies, I have most recently been working on modeling large urban regions using parallel discrete event simulation on HPC. We model regions the size of the entire Bay Area and all of Los Angeles Basin. Our analytics focus on optimization and control for reducing congestion, with an emphasis on equity and quality of life for those impacted by congestion.
Joseph Chow, New York University
Joseph Chow is an Institute Associate Professor at NYU Tandon School of Engineering’s Civil and Urban Engineering Department with affiliations at CUSP and Rudin Center for Transportation Policy & Management. Dr. Chow received his PhD ('10) at UC Irvine and his MEng (’01) and BS (’00) at Cornell University.
Kostas Kollias, Google
Kostas received his PhD (in algorithmic game theory) from Stanford in 2015 and has been a Research Scientist at Google since.
Lisa Wang, Google
Research Engineer @DeepMind working on Graph Neural Networks.
M. Grazia Speranza, University of BresciaM. Grazia Speranza is full professor of Operations Research at the University of Brescia, where she served as Dean of the Faculty of Economics and Business and Deputy Rector. She is currently President of IFORS (International Federation of the Operational Research Societies) and a former President of EURO (association of European Operational Research Societies) and of TSL (Transportation Science and Logistics society of INFORMS). As EURO President she founded the EURO Journal on Transportation and Logistics, the EURO Journal on Computational Optimization and the EURO Journal on Decision Processes. Grazia’s research focuses on mixed integer programming and combinatorial optimization with applications to transportation, supply chain management, scheduling and portfolio selection. She models real problems, designs exact and heuristic algorithms, and applies worst-case analysis to off-line problems and competitive analysis to on-line problems. Recent research is oriented towards the study of routing problems enabled by technological developments. Grazia is author of about 200 papers that appeared in international journals and volumes. She has been plenary speaker at several international conferences and member of the scientific committee of the major international conferences in the field. She was visiting professor at the London School of Economics and at Brunel University during her sabbatical and has given talks and seminars at many universities around the world. She has been guest editor of special issues of journals, editor of several international journals and is co-editor-in-chief of the series of books ‘EURO Advanced Tutorials in Operational Research’. Grazie has been a member of many evaluation committees, including the European Research Council (ERC) mathematics panel. She is included in https://100esperte.it/ and in the book ‘100 donne contro gli stereotipi per la scienza', Egea, 2017 as one of the best 100 Italian women in the STEM area. In 2019 she was awarded with the Laurea honoris causa by the University of Freiburg, Switzerland. She is a member of the Academy of Sciences of the University of Bologna.
Matthew Fahrbach, Google
Research Scientist on the Algorithms and Optimization team, focusing on large-scale optimization and machine learning.
Neda Masoud, University of Michigan Ann Arbor
Neda Masoud is an Assistant Professor of Civil and Environmental Engineering at the University of Michigan. She received her PhD in Civil and Environmental Engineering from University of California Irvine. Her research focuses on devising operational and planning tools to facilitate the transition into the next generation of mobility systems, which are envisioned to be connected, automated, electrified, and shared.
Neha Arora, Google
Neha is the Engineering Manager of the Spacetime Simulation team at Google Research. Our mission is to build high quality traffic simulations to optimize transportation networks holistically towards the goals of improving congestion and emissions.
Özlem Ergun, Northeastern University
Dr. Özlem Ergun is a professor and the Associate Chair for Graduate Affairs in Mechanical and Industrial Engineering at Northeastern University. Dr. Ergun’s research focuses on design and management of large-scale and decentralized networks. She has applied her work on network design, management, and resilience to problems arising in many critical systems including transportation, pharmaceuticals, and healthcare.
Pravin VARAIYA, University of California, Berkeley
His current research is in transportation networks and electric energy systems.
Rose Yu, University of California, San Diego
Rose Yu is assistant professor at UC San Diego department of Computer Science and Engineering and Halıcıoğlu Data Science Institute. Her research interests lie primarily in machine learning, especially for large-scale spatiotemporal data. She is generally interested in deep learning, optimization, and spatiotemporal reasoning. Her work has been applied to learning dynamical systems in sustainability, health and physical sciences.
Sanjay Ganapathy Subramaniam, Googler
Software Engineer in Spacetime team
Shane Henderson, Cornell University
Professor Shane G. Henderson holds the Charles W. Lake, Jr. Chair in Productivity in the School of Operations Research and Information Engineering (ORIE) at Cornell University. His research interests include discrete-event simulation, simulation optimization, emergency services planning and transportation. He is the editor in chief of the open-access journal Stochastic Systems. He is an INFORMS Fellow and a co-recipient of the INFORMS Wagner Prize for his work on bike-sharing programs.
Stefan Mellem, Google
Stefan Mellem is a software engineer working to improve public health and well-being with on-device intelligence, while safeguarding privacy. His primary research interests are differential privacy, federated computation, and secure multiparty computation, and he is currently working to apply these technologies to epidemiology and road safety.
Vincent Furrnon, Google
Technical Lead Manager in the Operations Research team, working on vehicle routing optimization.
Yafeng Yin, University of Michigan
Dr. Yafeng Yin is a Professor of Civil and Environmental Engineering and a Professor of Industrial and Operations Engineering at University of Michigan, Ann Arbor. He works in the area of transportation systems analysis and modeling, and has published more than 120 refereed papers in leading academic journals. His current research focuses on connected and automated mobility systems.
Yan Liu, University of Southern California
Yan Liu is a Professor in the Computer Science Department and the Director of Machine Learning Center at University of Southern California. She received her Ph.D. degree from Carnegie Mellon University. Her research interest is machine learning and its applications to health care, sustainability and social network analysis.
Yueyue Fan, CUniversity of California, Davis
Dr. Fan is a professor in Civil and Environmental Engineering at University of California, Davis. She is also a faculty member in graduate programs of Applied Mathematics and Business Analytics. Her current research topics include adaptive network routing and design, stochastic transportation and energy infrastructure system optimization, non-cooperative games over networks, and network information acquisition and identification.