Salt Lake City, UT

Building Accessible ML-driven systems for large-scale scientific data

Graduate Research Assistant @ SCI Institute, University of Utah

Highlights

  • LDAV 2024 Best Paper Award
  • CCGRID SCALE Challenge 2025 Finalist
  • NASA JPL + NCAR collaborations
  • ML and Azure AI Services

About

I am a fourth-year Ph.D. student in the Data Management and Analysis Track at the University of Utah, where my research focuses on developing interactive and scalable systems for large-scale scientific datasets. I design ML-driven workflows that combine intelligent automation, efficient storage, and interactive analysis to make massive datasets easier to visualize, analyze and understand.

Multiresolution Data Fabric LLM + RAG Web Viz

Education

The University of Utah
Salt Lake City, UT — Ph.D. Computer Science (Aug 2022 – Present)
The University of Mississippi
University, MS — BS Computer Science, GPA: 3.84 (Aug 2017 – Apr 2021)

Experience

NSF NCAR — Visiting Scholar (Sep 2025)

Boulder, CO

NASA JPL — Machine Learning Intern (Jun 2025 – Aug 2025)

Pasadena, CA

ViSOAR LLC — Software Engineer (Apr 2023 – Present)

Salt Lake City, UT

NASA JPL — Software Engineer Intern (Jun 2023 – Aug 2023)

Pasadena, CA

SCI Institute, University of Utah — Graduate Research Assistant (Aug 2021 – Present)

Publications

Abstracts & Posters
  1. A Voice-Enabled AI Agent for Interactive Visualization and Analysis of NASA's Downscaled Dataset — Dec 2025, AGU.
  2. From Validation to Societal Value: A User-Centric Framework for Evaluating Regional Climate Models — Dec 2025, AGU.
  3. Scalable Web-Based Exploration and RAG-enhanced Insights for NASA's Downscaled Climate Data — May 2025, CNG Conference.
  4. Real-time Web-based Visualization and Analytics of Petascale Climate Data From the Cloud — Apr 2025, AGU Student Showcase.
  5. Managing Large-scale Atmospheric and Oceanic Climate Data for Efficient Analysis and On-the-fly Interactive Visualization — Dec 2024, AGU.
  6. Visualization of a Petascale Climate Data from a Browser: A NASA Usecase — Aug 2024, WIRED Symposium.

Projects

Unified & Interactive Framework for Data Intelligence

Azure AI Search + OpenAI + cloud-hosted climate data for natural-language querying, dynamic subsetting, and on-demand analytics.

Azure OpenAI RAG Python
Live Demo
Dynamic Super-Resolution for Multi-variate Climate Data

Custom CNN + upsampling with multi-quality inputs to reconstruct full-resolution fields on demand.

DL Super-Resolution Climate
Code
OpenVisus

Python APIs & data-access plugins for high-performance streaming and multiresolution visualization.

OpenVisus IDX HZ-order
Website
NASA AIST Open Climate Workbench

Scalable streaming, subsetting, and real-time visualization inside AIST OCW workflows.

NASA AIST OCW
Summary

Skills

Web: React, Node/Express, MongoDB, MySQL, HTML5, CSS

Visualization: OpenVisus, ParaView, 3D Slicer, Bokeh, Panel

Languages & Services: Python, Azure, PHP, SQL, JavaScript, Git

Honors & Awards

  • CCGRID International Scalable Computing Challenge(SCALE) 2025 — Finalist

  • IEEE LDAV 2024 — Best Paper Award

  • NSDF Fellow for Supercomputing 2024

Tutorials
Invited Presentations
  • OpenVisus for Visualization of Petascale Scientific Data
    NASA Earth Exchange (NEX) Biweekly Meeting · Remote
    Mar 2025
  • OpenVisus for Petascale Scientific Visualization
    NCAR Earth System Data Science (ESDS) Initiative · Remote
    Mar 2025

Get in touch