CV

Computational applied mathematician working on coastal flooding, storm surge, and geophysical hazards, with expertise in finite-volume methods, adaptive mesh refinement (AMR), uncertainty quantification, and high-performance scientific computing.

Download full CV (PDF) Publications Research

  • Now: Scientist IV, NSF NCAR
  • Location: Brooklyn, NY
  • PhD: Applied Mathematics (University of Washington)
  • GitHub: mandli

Research highlights

  • Leadership in the development and maintenance of widely used open-source numerical software for hyperbolic PDEs (Clawpack, GeoClaw, PyClaw), adopted across academia, government (including NOAA and the National Weather Service), and industry, supporting geophysics, climate science, and hazard modeling.
  • Verification, validation, and reproducibility practices for scientific software sustained across two decades and many contributors, including an in-progress project-wide policy for AI-assisted contribution built around numerical verification as a required proof obligation.
  • Collaborative research with national and international research institutions and government agencies, including NCAR, the Flatiron Institute, NOAA, and the National Weather Service.
  • Contributions to decision-relevant modeling in contexts including coastal flooding, storm surge, climate risk, and infrastructure resilience.

Selected metrics: 2,100+ citations · h-index 24 · i10-index 36 · Google Scholar

Appointments

  • NSF National Center for Atmospheric Research (NCAR) — Scientist IV, CGD Lab (2025–present)
  • Flatiron Institute, Center for Computational Mathematics — Research Scientist (2023–2024)
  • Columbia University, Applied Physics & Applied Mathematics
    Assistant Professor (2014–2019) · Associate Professor (2019–2023) · Research Scientist (2023)
  • University of Texas at Austin, ICES — Postdoctoral Research Fellow / Research Associate (2011–2014)

Open-source software (selected)

GeoClaw — Core developer & maintainer
Adaptive mesh refinement modeling of storm surge, tsunami, and coastal flooding.
Repo
PyClaw — Core developer & maintainer
Python framework for solving hyperbolic PDEs with modern, reproducible workflows.
Repo
Clawpack Suite — Contributor & maintainer
(Conservation Laws Package) Open-source ecosystem for wave propagation and finite-volume methods.
Repo
Numerical Methods Course Notes — Author
Jupyter notebook-based course materials for an introduction to numerical methods.
Repo
Numerical Methods for PDEs Course Notes — Author
Jupyter notebook materials for teaching numerical methods for PDEs.
Repo

Teaching & mentoring (at a glance)

  • Teaching areas: numerical analysis, finite-volume methods, hyperbolic PDEs, uncertainty quantification, computational science.
  • Courses taught (selected): Uncertainty Quantification; Finite Volume Methods for Hyperbolic PDEs; Numerical Methods for PDEs; Introduction to Numerical Methods.
  • Doctoral mentoring: Advising and co-advising PhD students in applied mathematics, civil engineering, and climate science, with dissertations spanning adaptive methods, coastal flooding, and optimization of protective strategies.
  • Postdoctoral mentoring: Mentored postdoctoral and early-career researchers now in research scientist and tenure-track faculty positions.

Service (selected)

  • Organizer and leadership roles in SIAM and applied mathematics communities, including SIAM New York-New Jersey-Pennsylvania Section conferences.
  • Program and organizing committee member for international conferences in computational science and high-performance computing.
  • Panelist and contributor to national discussions on climate risk, hazard modeling, and convergent research.
  • Extensive editorial and peer-review service for journals in applied mathematics, computational science, and geophysics.

Full details: Download CV (PDF)