Work

This page contains some of my work and other professional activities.

Interests

As an industry mathematician, I have a wide range of interests. I currently work in venture capital and so am always interested in learning more about this space. Correspondingly, I am interested in traditional and non-traditional financial data and how it can be used to make better investment decisions. I am simulataneously interested in machine learning, data engineering, devops, and other tools that can help build better decision support systems.

For my research, I am primarily interested in dynamic networks, i.e., graphs that change over time. While I am now primarily interested in the various applications of dynamic networks and large-scale data that can be represented as dynamic networks, I am also interested in theoretical questions, including perspectives from algebraic topology, algorithms, stochastic processes, optimization, and graph theory.

As a coder, I am interested in cool, ergonomic, and powerful devops and data engineering tools. I also love functional programming, immutable data structures, and type systems.

I have other interests, too, including (but not limited to):

  • parallel and distributed computing
  • crypotographically-guaranteed data privacy
  • classical music
  • aerospace technology and other vehicles

Publications

  1. 2024 - pre-print (PDF)
    Spatiotemporal \(k\)-means. [1]
  2. 2024 - pre-print (PDF)
    Vertex clustering in diverse dynamic networks. [2]
  3. 2023 - Complex Networks (PDF)
    A Novel Method for Vertex Clustering in Dynamic Networks. [3]
  4. 2023 - ComNets @ NetSci (PDF)
    Spatiotemporal Graph \(k\)-means. [4]
  5. 2023 - Bioinformatics Advances (PDF)
    Network-Augmented Compartmental Models to Track Asymptomatic Disease Spread. [5]
  6. 2023 - Princeton U. | Ph.D. Dissertation (PDF)
    On Systems of Dynamic Graphs: Theory and Applications. [6]
    Adviser: Bernard Chazelle, Reader: Robert Kassouf-Short.
  7. 2022 - IEEE AeroConf (PDF)
    Introducing Tropical Geometric Approaches to Delay Tolerant Networking Optimization. [7]
  8. 2022 - IEEE AeroConf (PDF)
    A Survey of Mathematical Structures for Lunar Networks. [8]
  9. 2021 - Complex Networks (PDF)
    Extracting Semantic Information from Dynamic Graphs of Geometric Data. [9]
  10. 2016 - SIURO (PDF)
    Rumors with Personality: A Differential and Agent-Based Model of Information Spread through Networks. [10]

Talks

  1. 2024 June – QCAM
    TBA.
  2. 2024 April – Spectra @ U. of Kentucky
    Career Panel.
  3. 2024 January – Joint Mathematics Meetings (Slides)
    A Novel Method for Vertex Clustering in Dynamic Networks.
  4. 2023 November – Complex Networks (Poster)
    Spatiotemporal Graph k-means. Given by Olga Dorabiala.
  5. 2023 May – Spectra Survey of Mathematics @ U. of Kentucky (Slides)
    Dynamic Graphs.
  6. 2023 May – Princeton U. | Ph.D. Defense (Slides)
    On Systems of Dynamic Graphs: Theory and Applications.
    Committee: Bernard Chazelle, Mona Singh, Jason M. Klusowski.
  7. 2023 March – SIAM CSE (Slides)
    Inspired by Nature: Dynamic Graphs and their Applications.
  8. 2022 Winter – Princeton U. | PICSciE Wintersession
    Workshop: Now You git It!.
  9. 2021 December – Complex Networks
    Extracting Semantic Information from Dynamic Graphs of Geometric Data.
  10. 2021 Fall – Princeton U. | PICSciE
    Workshop: Now You git It!.
  11. 2021 Summer – NASA | GlennTalk
    Why everyone is a graph theorist (and some potpourri).
  12. 2021 Summer – NASA
    Workshop: git It Together.
  13. 2021 January – Princeton U. | General Examination
    Analyzing Basketball with Dynamic Networks.
    Committee: Bernard Chazelle, Szymon Rusinkiewicz, Weinan E.
  14. 2020 Spring – Princeton U. | PICSciE
    Workshop: Now You git It!.
  15. 2019 Fall – Princeton U. | Research Computing Bootcamp 2019
    Workshop: Version Control with Git.
  16. 2019 June – U. of Waterloo | Anita T. Layton Research Group
    Mathketball.
  17. 2017 Fall – Duke U. | Focus Dinner Talk
    Get Your Text out of the Clouds with Laplace.
  18. 2016 November – HackDuke 2016
    React.
  19. 2016 November – HackDuke 2016
    Workshop: git your shit together. With Jiawei Zhang.
  20. 2016 Fall – Duke U. | Focus Dinner Talk
    Rumors with Personality.
  21. 2015 Spring – Duke U. Dept. of Romance Studies | Undergraduate Research Symposium
    Oubapo: La Distillation de l’Information.

Other Research Projects

  1. 2017 Spring to 2018 Spring – Duke U. | Senior Thesis Work
    Basketball Data Analysis. (note: I never formally submitted my senior thesis.)
  2. 2015 Summer – Duke U. | Bass Connections
    Feature Extraction and Quantitative Analysis of Large Scientific Document Corpora. Supervised by Xiaobai Sun and Nikos Pitsianis.

Current Professional Service

References

[1]
O. Dorabiala, D. V. Dabke, J. Webster, and N. J. K. A. Aravkin, “Spatiotemporal \(k\)-means,” 2024.
[2]
D. V. Dabke and O. Dorabiala, “Vertex clustering in diverse dynamic networks,” Feb. 2024.
[3]
D. V. Dabke and O. Dorabiala, “A novel method for vertex clustering in dynamic networks,” in Complex networks & their applications XII, Springer, 2023, pp. 445–456. doi: 10.1007/978-3-031-53499-7_36
[4]
D. V. Dabke and O. Dorabiala, “Spatiotemporal graph k-means,” in Proceedings of the communities in networks ComNets @ NetSci 2023, 2023.
[5]
D. V. Dabke, K. Karntikoon, C. Aluru, M. Singh, and B. Chazelle, “Network-augmented compartmental models to track asymptomatic disease spread,” Bioinformatics Advances, 2023, doi: 10.1093/bioadv/vbad082
[6]
D. V. Dabke, “On systems of dynamic graphs: Theory and applications,” PhD thesis, Princeton University, 2023.
[7]
J. Cleveland et al., “Introducing tropical geometric approaches to delay tolerant networking optimization,” in 2022 IEEE aerospace conference (AERO), 2022, pp. 1–11. doi: 10.1109/AERO53065.2022.9843242
[8]
A. Hylton et al., “A survey of mathematical structures for lunar networks,” in 2022 IEEE aerospace conference (AERO), 2022, pp. 1–17. doi: 10.1109/AERO53065.2022.9843305
[9]
D. V. Dabke and B. Chazelle, “Extracting semantic information from dynamic graphs of geometric data,” in Complex networks & their applications X, Springer, 2021, pp. 474–485. doi: 10.1007/978-3-030-93413-2_40
[10]
D. V. Dabke and E. E. Arroyo, “Rumors with personality: A differential and agent-based model of information spread through networks,” SIAM Undergraduate Research Online, vol. 9, pp. 453–467, Dec. 2016, doi: 10.1137/16S015103