jibancat Goto Github PK

followers: 22.0 following: 39.0 repos: 68.0 gists: 1.0

Name: Ming-Feng Ho

Type: User

Company: University of California, Riverside

Bio: Astrophysics PhD student (UCR), NASA FINESST FI. Interests: Bayesian statistics, IGM/CGM, cosmology, black holes, machine learning.

Location: Riverside, CA

Blog: https://jibancat.github.io/

Hi there, I am Ming-Feng (Jibancat) 👋

I'm an astronomer, simulator, and data scientist

🔭 Check out my personal website: jibancat.github.io!
🌱 I’m currently learning tensorflow probability, Blender, wagashi making, and Japanese!
🧋 My past works include machine learning pipeline for finding DLAs (gp_dla_detectoin), multi-fidelity emulator for cosmological simulations (matter_multi_fidelity_emu), and an automated tool for quasar redshift estimation (gp_qso_redshift).
👯 I’m currently interested in subgrid model calibration for galaxy formation simulations using machine learning, Lyman-alpha tomography, Bayesian population inference, time-domain astronomy.
🥅 2023 Goals: Learn more about self-supervised learning and find a job.
⚡ Fun fact: I love to play Don't Starve Together (DST) and cello. And before pursuing my astronomy PhD, I loved writing literature and (briefly) worked in the fascinating field of digital humanities!

Selected papers

PRIYA: A new suite of Lyman-alpha forest simulations for cosmology (arXiv:2306.05471) and the companion paper using PRIYA for inference, Cosmological Constraints from the eBOSS Lyman-α Forest using the PRIYA Simulations (arXiv:2309.03943)

YouTube link to the full-resoultion video! YouTube link to the full-resolution video! YouTube link to the full-resoultion video!

MF-Box: Multi-fidelity and multi-scale emulation for the matter power spectrum jibanCat/matter_emu_mfbox (arXiv:2306.03144)

Damped Lyman-alpha Absorbers from Sloan Digital Sky Survey DR16Q with Gaussian processes (arXiv:2103.10964)

Connect with me:

Ming-Feng Ho's Projects

astro-ph-ml-topics

Using arxiv API to analysis neural network paper in astro-ph

blase

Hybrid data/model-driven approach to astronomical echelle spectroscopy data built on PyTorch

blender_volume_tutorial

cola_estimate

cola rough uncertainty estimate

composite_seds_reports

Latex files for my reports

conv1d-healpix

An experimental implement of Conv1d on HEALPix array

digitalhumanities

Jupyter notebook tutorials in Digital Humanities, 3 tutorials were downloaded Digital Sinology written by Donald Sturgeon. Other tutorials would be written by myself.

dla_data

DLA data - A collection of datasets for DLAs

emukit

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.