kpantaz1@jhu.edu
I am a first year Postdoctoral Fellow in the Department of Applied Mathematics & Statistics (AMS) at the Whiting School of Engineering, Johns Hopkins University. My faculty sponsor is Professor Carey Priebe. My PhD advisor is Vince Lyzinski, Associate Professor at the University of Maryland, College Park.
My research areas of interest include Multiscale Statistical Network Inference, Multiple Graph Matching and Time Series of Networks.
During Summer 2022, I was a Joint E+D & MSR research intern at Microsoft. My supervisors were Dr. Anna Bertinger (E+D team) and Dr. Jonathan Larson (Microsoft Research team).
I received my PhD diploma from the Department of Mathematics & Statistics, University of Maryland, College Park on May 2022.
During Summer 2021, I was a research intern at the Computational and Information Sciences Directorate (CISD), DEVCOM Army Research Laboratory supervised by Dr. Jade Freeman.
Since 2019, I am interested in the statistical analysis of joint spectral embedding methods for multiple networks. From 2017 to 2019, I was a PhD student at UMASS and worked in graph matching problems with my PhD advisor Vince Lyzinski.
I received a B.Sc. in Applied Mathematics from the National & Kapodistrian University of Athens, Greece.
December 17-19, 2022 15th International Conference of the ERCIM WG on Computational and Methodological Statistics CMStatistics 2022. Virtual. [Slides]
November 28 - December 1, 2022 NeurIPS 2022: Thirty-sixth Conference on Neural Information Processing Systems NIPS2022. In-person. [Poster Session]
December 10, 2021 Talk at National & Kapodistrian University of Athens. In-person. [Announcement]
August 12, 2021 2021 Joint Statistical Meetings (JSM). Virtual. [Video presentation]
August 12, 2021 DEVCOM ARL Summer Student Symposium. Virtual. [Poster]
July 10, 2021 NETWORKS 2021: A Joint Sunbelt and NetSci Conference. Virtual.
“The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks” Pantazis, K., Athreya, A., Arroyo, J., Frost, W.N., Hill, E.S., and Lyzinski, V. Journal of Machine Learning Research (JMLR) 23(141):1−77, 2022. journal.
“Multiplex graph matching matched filters” Pantazis, K., Sussman, D.L., Park, Y. et al. Multiplex graph matching matched filters. Appl Netw Sci 7, 29 (2022) journal.
“Clustered Graph Matching for Label Recovery and Graph Classification” Li, Z., Arroyo, J., Pantazis, K., and Lyzinski, V. preprint.
Introduction to Optimization (EN.553.361), Spring 2023
Probability and Statistics for the Biological Sciences and Engineering (EN.553.311), Fall 2022
Introduction to Linear Algebra (MATH240), Spring 2022
Applied Probability and Statistics (STAT400), Spring 2020 & 2021
Linear Algebra for Scientists & Engineers (MATH461), Fall 2019
Summer 2022 Research Intern: Graph Matching (Microsoft) (12 weeks) [[LinkedIn announcement]](https://www.linkedin.com/jobs/view/research-intern-graph-matching-at-microsoft-3073489771/)
Aim attention at modeling security incidents via graphs and applying modern machine learning and graph theoretic methods toward building interactive systems.
Summer 2021 CCDC-ARL Summer Student Experience: Computational and Information Sciences Directorate, Adelphi MD (12 weeks)
Focused on developing a learning algorithm for collaboratively prioritizing and filtering information object in dynamic contextual environment.
I am a probationary / associate member of the Hyattsville Volunteer Fire Department, Inc since October 2021.
I am a platelet donor at American Red Cross Consider Platelet Donation
I am an active member of Potomac Appalachian Trail Club since 2020. During Spring 2021, I was a crew member for trail maintenance at Sugarloaf Mountain, MD.
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