Talks and Presentations

  • Nature vs. Nurture in Randomly Growing Graphs.
    • RandNET Workshop, Aug 2022
  • Correlated Stochastic Block Models: Graph Matching and Community Recovery
    • INFORMS Annual Meeting, Oct 2022
    • Conference on Learning Theory (COLT), July 2022
    • Stochastic Networks Conference, June 2022
    • NeurIPS, Dec 2021
    • 20th Northeast Probability Seminar, Nov 2021
  • Quickest Source Estimation of Network Cascades
    • North American School of Information Theory (NASIT), Aug 2022
    • ICASSP, June 2021
    • Asilomar Conference on Signals and Systems, Nov 2020 [ppt]
  • Understanding the Impact of Mutations and Mask-wearing in Viral Spread on Networks
    • ICASSP, June 2021
    • Networks, July 2021
  • Correlated Randomly Growing Graphs [video] [poster] [ppt]
    • INFORMS Annual Meeting, Nov 2020
    • Bernoulli-IMS One World Symposium, August 2020
    • PhD Generals, April 2020
    • MIT Institute for Foundations of Data Science (MIFODS) Workshop: Learning under Complex Structure, January 2020
  • Mean-field Approximation for Stochastic Population Processes
    • Saint-Flour Probability Summer School, July 2019
    • Carnegie Mellon’s Electrical and Computer Engineering Department Summer Undergraduate Research Symposium, July 2017
  • Client-CASH: Protecting Master Passwords against Offline Attacks [ppt]
    • ACM ASIACCS Conference, May 2016