James (Siyuan) Guo     Home | Research | Notes | Projects | Teaching



CV

Education

University of California, Santa BarbaraSeptember 2026 –

  • Incoming PhD student, Department of Applied Probability and Statistics

Johns Hopkins University, Baltimore, MDAugust 2022 – May 2026

  • M.A. in Mathematics, B.S. in Computer Science GPA: 3.99/4.00
  • Departmental Honors in Mathematics; Departmental Honors in Computer Science
  • J.J. Sylvester Award for Excellence in Mathematics (2026; $250)

Research Experiences

Reconstructing Trajectories for Interacting Particle Systems from Unlabeled DataAdvisor: Fei Lu

  • Senior thesis (defended Spring 2026): recover particle trajectories when observations are unlabeled empirical measures at discrete times.
  • Connected IPS / SDE dynamics to Wasserstein geometry and optimal transport; learned interaction potentials via a trajectory-free self-test objective from energy increments, dissipation, and diffusion functionals.
  • Reconstructed labels across snapshots with prediction-informed assignment costs, Hungarian matching, and Sinkhorn (entropic OT); compared alternating match–estimate loops against oracle baselines.

Bounds on Hausdorff Measure of Cartesian Products of Cantor SetsAdvisor: Taylor Jones

  • Preprint: arXiv:2510.09701; revised after review and preparing resubmission to Involve.
  • Studied Hausdorff measure and dimension for null sets with symmetric / self-similar structure; investigated bounds for (C^d) where (C) is the middle-thirds Cantor set, deriving tighter upper and lower bounds for low (d).
  • Combined measure-theoretic estimates on basic sets with computer-assisted calculations to refine bounds.
  • Poster and talk: Mid-Atlantic Research Exchange (MATRX) 2026.

Adaptive Kernel Learning in Interacting Particle SystemsAdvisor: Xiong Wang

  • Modeled Lennard-Jones-type simulations via IPS governed by SDEs with unknown radial interaction kernels.
  • Projected kernels onto orthogonal bases; estimated coefficients by least squares, then adaptively pruned and refined to emphasize influential terms.
  • Applied IPS-inspired modeling to sentiment dynamics learned by trained RNNs.
  • Poster: Southern Regional Council on Statistics (SRCOS) 2025.

Improving Precision of QR Factorization: A Fractional ImplementationAdvisor: Mario Micheli

  • Analyzed numerical instability of classical Gram–Schmidt under floating-point roundoff and catastrophic cancellation.
  • Proposed a Q-based fractional model to reduce roundoff; explored design alternatives and precision trade-offs.
  • Showed that fractional QR can attain arbitrarily high numerical precision in target applications.
  • Poster and talk: Mid-Atlantic Research Exchange (MATRX) 2025.

Teaching Experiences

Johns Hopkins University, Baltimore, MDJanuary 2023 – May 2026

  • Teaching Assistant, AS.110.302 Differential Equations SP26
  • Head PILOT Leader, AS.110.302 Differential Equations SU24 · FA24 · SP25 · SU25 · FA25 · SP26
  • Teaching Assistant, AS.250.205 Introduction to Computing SP23 · FA23 · SP24 · FA24 · SP25 · FA25 · SP26
  • Course Assistant, AS.110.109 Calculus II FA25
  • PILOT Leader, AS.110.302 Differential Equations FA23 · SP24

Selected Activities and Services

Johns Hopkins Math Tournament (JHMT)September 2024 – April 2025

  • Proposed and reviewed contest problems for regional high school and middle school students.
  • Helped organize the in-person contest and gave an enrichment talk on competition day.

International Students at Hopkins (ISAH)October 2022 – May 2024

  • Organized community events (movie nights, tea parties, care packages, formals) to build an inclusive international community.
  • Volunteered at Baltimore Lunar Night (ticket stand and help desk).

Maryland Science OlympiadOctober 2022 – April 2024

  • Wrote event questions in physics and engineering for middle school competitors; proctored and scored at state tournaments.
  • Supervised Sound of Music B (2023), Bridges C (2024), and Optics B&C (2024).

Skills

  • Programming: Python, MATLAB, Java, C, C++, JavaScript/TypeScript, assembly, bash
  • Tools: LaTeX, Git, Microsoft Office
  • Languages: English (fluent), Mandarin Chinese (fluent), Spanish (elementary)



© James Guo 2026 jamesguo@ucsb.edu jamesgsy03@gmail.com Anonymous feedback