I am an Associate Professor and Associate Chair for Graduate Studies and Research in the Department of Computer and Information Sciences with a joint appointment in the Department of Physics and Astronomy at the University of Delaware. I received my Ph.D. from the Weizmann Institute of Science (Israel) under supervision of Achi Brandt and Dorit Ron. In Fall 2012, I joined the School of Computing at Clemson University. I was also a Faculty Scholar of the Clemson University School of Health Research. Before that I was at the Division of Mathematics and Computer Science at Argonne National Laboratory. My undegraduate school is Ben-Gurion University of the Negev (Israel).

For students and applicants: I am always actively looking for highly motivated students to work with (both undergraduate and graduate). You are always welcome to stop by my office to chat. Click here to check if I have an immediate M.Sc./Ph.D./Undergraduate/Internship opening. All applications must be submitted at Academentory.com where my positions are listed with relevant questions. Please, do not apply via email! Undergraduate students click here.

Research Interests

  • Quantum computing
  • Graph Algorithms, Network Science
  • Machine Learning, AI
  • Hypothesis Generation, Text Mining, NLP
  • Combinatorial Scientific Computing
  • Multiscale and Multilevel Algorithms


Total over $6.5M
  • NIH
  • NSF
  • BMW
  • Greenville Hospital System
  • Department of Education

My Erdös number is 3 (Safro-Brandt-Gillis-Erdös, Safro-Sanders-Wormald-Erdös), and this is my Ph.D. genealogy tree (courtesy Mathematics Genealogy Project)

Recent Professional Activities

  • Editorial Board:
     • SIAM Journal on Scientific Computing
     • Springer Nature Computer Science, associate editor in the section "Quantum Computing and Emerging Technologies"
     • Algorithms
     • PLOS ONE (Machine Learning, Data Mining and Network Science Areas)
     • Journal of Data Intelligence
  • (co)Organizer:
     • Leibniz Center for Informatics, Dagstuhl Seminar "Scalable Graph Mining and Learning", 2023 (1 week)
     • IEEE/ACM International Worshop on Quantum Computing 2022
     • Quantum Computing mini-cluster at INFORMS 2021 (several sessions on quantum optimization and machine learning and tutorial on quantum combinatorial optimization)
     • Tutorial "Tutorial on Combinatorial Optimization on Quantum Computers" at IEEE International Conference on Quantum Computing and Engineering (QCE20)
     • Mini-symposium "Recent Advances and Trends in Hybrid Quantum-Classical Algorithms" at SIAM Conference on Parallel Processing for Scientific Computing (PP20)
     • Tutorial "Combinatorial Optimization on Quantum Computers" at SIAM Conference on Parallel Processing for Scientific Computing (PP20)
     • Leibniz Center for Informatics, Dagstuhl Seminar "High-performance Graph Algorithms", 2018 (1 week)
     • Session on "Scalable Algorithms for Networks" at International Symposium on Mathematical Programming 2015
     • Leibniz Center for Informatics, Dagstuhl Seminar "High-performance Graph Algorithms and Applications in Computational Science", 2014 (1 week)
     • ICiS Workshop "Graph and Hypergraph Problems in Computational Science", 2012 (1 week)
  • Program Committee Member
     • SIAM Parallel Processing and Scientific Computing 2024  • IEEE/ACM International Worshop on Quantum Computing 2022  • IEEE Quantum Computing and Engineering 2021, 2022, 2023  • ACM KDD 2021, 2022, 2023  • SIAM International Conference on Data Mining 2022, 2024  • CIKM 2021, 2022, 2023  • Online Conference on Algorithms (ALG2021)  • IEEE Quantum Computing and Engineering Week 2021, Quantum Algorithms and Applications track  • International Workshop on Quantum Computing: Circuits Systems Automation and Applications 2020, 2021, 2022 (QC-CSAA, co-located with IEEE Computer Society Annual Symposium on VLSI)  • International Workshop on Literature-Based Discovery (LBD 2020)  • INFORMS Optimization Society 2020 (IOS2020)  • International Workshop on Quantum Computing for Sustainable Computing 2019  • International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2018, 2019, 2021, 2022)  • IEEE Cloud Summit 2019  • SIAM Workshop in Combinatorial Scientific Computing 2016 (SIAM CSC16)  • Learning and Intelligent Optimization 2011, 2012, 2013 (LION11-13)  • IEEE 2nd International Workshop on Network Science 2013 (NSW13)
  • Advisory Board Member
     • The Swiss Innovation Lab
     • Quantum Startup Foundry at Maryland
     • The International Artificial intelligence and Quantum Technology Foundation
  • Grant Panels: NIH, NSF, NASA, internal panels in schools and national labs
  • Consulting: McKinsey and Company, Coleman Research Group

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