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Postdoc at Columbia University. Interested in applying data science and machine learning to solve problems in cosmology.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
cuboid_remap_jax
July 2, 2023 – June 29, 2024
A Jax implementation to remap cubic volumes with periodic boundary conditions to non-cuboid volumes
View Projectpytorch-iobs
May 23, 2023 – December 3, 2023
A lightweight implementation of Information-Ordered Bottlenecks (IOBs) in PyTorch.
View ProjectICdiffusion
April 19, 2023 – June 19, 2023
Posterior sampling of initial conditions using score-based generative models
View Projectslurm_jupyter
March 21, 2019 – October 9, 2021
Brief notes on how to run and access a jupyter notebook on a login node and a compute node using the SLURM cluster scheduler
View Projectdeep_galaxy_models
December 8, 2018 – August 11, 2020
Repository hosting code for creating deep generative models for GalSim
View ProjectCLMM
February 23, 2018 – Present
A Python library for performing galaxy cluster mass reconstruction from weak lensing observables
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic and research-oriented tasks within astrophysics, which may indicate a strong fit for roles requiring deep scientific inquiry and problem-solving. However, the lack of diverse project types or team-based work makes it difficult to fully assess broader cultural fit for a typical industry data scientist role. The projects are all personal, which limits insight into collaboration and communication styles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.