Research

I work in observational cosmology. Most of my projects ask how a measurement limit, such as photometric-redshift error or a survey window, changes what a galaxy survey can measure. I build the simulations, pipelines and statistics needed to answer that.

Projects

BAO reconstruction in the presence of photometric-redshift uncertainty

Feb 2026–present Arizona Cosmology Lab, Steward Observatory, University of Arizona Advisor: Prof. Tim Eifler

Reconstruction sharpens the baryon acoustic oscillation (BAO) feature by undoing part of the galaxy motion that blurs it. Photometric redshifts smear galaxy positions along the line of sight. I test when standard reconstruction still improves BAO distances for samples with SPHEREx-like redshift errors and number densities.

I developed photorecon, a Python package for transverse BAO reconstruction on photometric galaxy samples that follows the pyrecon interface. It is now being tested for SPHEREx at low redshift. I found a systematic bias in the MCMC pipeline and cut it sixfold by cross-validating two covariance estimators over a 250-cell grid.

Across 25 DESI AbacusSummit mocks, combining four redshift-precision classes per bin raised the 2D BAO figure of merit by 26 to 271 percent after reconstruction and recovered the input distances within 1.3σ. I identified the operating range of standard reconstruction, a redshift error σ/(1 + z) below about 0.003 and shot noise below about 2.5 times the BAO-scale clustering power, to guide SPHEREx sample selection. A first-author paper is in preparation.

Hallmark: data management for simulation libraries

Aug 2026–present TIMESTEP Program, Steward Observatory, University of Arizona Advisor: Dr. Chi-kwan Chan

Event Horizon Telescope simulation libraries hold large numbers of files whose parameters live in their paths. Hallmark is an open-source Python package that decodes those paths into structured parameters and data frames, so a library can be searched and reused. I work on the metadata extraction, Git-based data versioning, and parameter-driven downloads of public-data subsets such as DESI.

Neural-network window functions for SPHEREx

Jun–Aug 2024 SPHEREx Team, Summer Undergraduate Research Fellowship (SURF), Caltech Advisor: Dr. Olivier Doré

A survey window mixes Fourier modes in the measured galaxy power spectrum. The effect is largest on the scales that carry the signal of local primordial non-Gaussianity. I built a ResUNet in PyTorch that predicts window-function effects quickly, and it reached sub-percent prediction error on validation data.

I owned the full pipeline: lognormal mock catalogs with realistic SPHEREx survey masks, distributed training on Linux HPC, and validation against analytic baselines.

Six infrared detector views from a SPHEREx first-light exposure
A SPHEREx first-light exposure. Image: NASA/JPL-Caltech.

Roman and Rubin weak-lensing synergies

May 2022–Dec 2024 Cosmology Group, Department of Physics, Duke University Advisor: Prof. Michael A. Troxel

Roman observes from space and Rubin from the ground. The project tested how a joint analysis can improve photometric-redshift calibration and cosmological constraints. I built a Python pipeline for joint analysis of 120 TB of Roman and Rubin simulations, with two-point correlation functions and MCMC inference of cosmological parameters.

New mode-based calibration strategies raised the Figure of Merit by 20 percent. I contributed simulation and analysis work to OpenUniverse2024.

A simulated Roman Space Telescope field from OpenUniverse2024
A simulated Roman field from OpenUniverse2024. Image: NASA Goddard and M. Troxel.

Calibrating the distance ladder with synthetic stars

Sep 2023–Aug 2024 Cosmology Group, Department of Physics, Duke University Advisor: Prof. Daniel Scolnic

The goal was a common framework for comparing distance-calibration methods across teams, and a test of the JWST and HST distances behind the local Hubble constant. I built a Python pipeline for synthetic stellar catalogs and for extracting features from Hertzsprung-Russell diagrams. I also compared JWST distance measurements across the literature and measured galaxy-dust correlations in SDSS data. This work contributed to Riess et al. (2024).

Publications

Also listed on NASA ADS, Google Scholar and ORCID.

  1. Wu, T., Paillas, E., & Eifler, T. “BAO Reconstruction in the Presence of Photometric Redshift Uncertainty.” Manuscript in preparation.
  2. OpenUniverse et al. (including T. Wu). “OpenUniverse2024: A Shared, Simulated View of the Sky for the Next Generation of Cosmological Surveys.” MNRAS 544(4), 3799–3823 (2025). doi:10.1093/mnras/staf1833. Journal arXiv Summary
  3. Riess, A. G., Scolnic, D., et al. (including T. Wu). “JWST Validates HST Distance Measurements: Selection of Supernova Subsample Explains Differences in JWST Estimates of Local H₀.” ApJ 977, 120 (2024). arXiv:2408.11770. Journal arXiv Summary

Talks

  • Oct 2026
    BAO Reconstruction with Photometric Redshift Smearing

    TACOS Talk, Arizona Cosmology Lab, Steward Observatory (Steward-wide audience)

  • Oct 2026
    BAO Reconstruction with Photometric Redshift Smearing

    Steward Astronomy Symposium, University of Arizona

  • Oct 2026
    BAO Measurements, Cosmology Session

    SPHEREx Science Team Meeting

  • Jun 2026
    BAO Measurements, Cosmology Session

    SPHEREx Science Team Meeting (Face-to-Face E4), IPAC, Caltech

  • Apr 2026
    BAO analysis segment of the SPHEREx team colloquium

    SO and NSF NOIRLab Joint Colloquium, Steward Observatory

  • Aug 2024
    Predicting Power Spectrum Window Function with Neural Networks

    SURF Final Presentation, SPHEREx Team, Caltech

  • Aug 2023
    Quantifying Wetland Carbon Emissions in the Southeastern United States

    Data+ Final Presentation, Duke University

Software

  • cosmock Co-developer

    Tomographic weak-lensing convergence maps from input maps and angular power spectra, using point-transformed Gaussian fields. github.com/ivan96eb/cosmock

  • hallmark Contributor

    Reproducible data management for simulation libraries, motivated by Event Horizon Telescope calibration and simulation workflows. github.com/lanisrc/hallmark

Teaching and outreach

  • 2022–2024
    Assistant, Department of Mathematics, Duke University

    Help Room shifts and SAGE discussion sections for multivariable calculus, linear algebra and probability.

  • 2025
    Physics and mathematics tutor, PalmDrive Academy

    AP Physics, AP Calculus and Cambridge A-Level Physics.

  • 2026–present
    Peer mentor for incoming students, University of Arizona

    Mentoring first-year students through the move to university study.

  • 2021–2024
    Founder and President, Stargazing Devils

    Founded Duke’s first astronomy club. Ran weekly observatory open houses and secured funding for 14 students to attend the 2023 and 2024 solar eclipses.

  • 2022–2024
    President and Co-President, Society of Physics Students, Duke

    Rebuilt the chapter with research panels, student and faculty seminars, and a mentorship program for women in physics.

  • 2022–2024
    Student Ambassador, American Physical Society

    Organized study sessions and manuscript workshops, and advocated for physics-community priorities on Congressional Visits Day.

Awards

  • 2026Global Wildcat Scholarship, University of Arizona
  • 2024Faculty Scholars Finalist, Duke University
  • 2024Jocelyn Bell Burnell Outstanding Leadership Scholarship, Society of Physics Students
  • 2024Inductee, Sigma Pi Sigma
  • 2021Third Grand Award in Physics and Astronomy, Regeneron ISEF
  • 2021Top Gold Medalist, British Physics Olympiad

Education

  • 2026–2027
    B.S. in Physics, minor in Mathematics (expected by May 2027)

    University of Arizona. Advisors: Prof. Tim Eifler, Arizona Cosmology Lab, and Prof. Chi-kwan Chan, EHT Collaboration.

  • 2021–2024
    Physics and Mathematics

    Duke University. Advisors: Prof. Michael A. Troxel and Prof. Daniel Scolnic.