Background¶
I am a PhD candidate in Atmospheric Sciences at the University of Illinois at Urbana-Champaign. My research focuses on understanding cloud and precipitation processes using weather radar observations, machine learning techniques, and open science practices.
Research Focus¶
My work combines traditional atmospheric science with modern computational methods:
Cloud Physics: Investigating cloud microphysical processes and their role in precipitation formation
Radar Meteorology: Developing and applying radar-based techniques for studying clouds and precipitation
Machine Learning: Applying deep learning methods to improve precipitation retrieval and cloud characterization
Open Science: Promoting FAIR principles and developing cloud-optimized data workflows for the atmospheric science community
Education¶
Ph.D. in Atmospheric Sciences | University of Illinois at Urbana-Champaign | 2020–2025 (Expected)
M.Sc. in Meteorology | Universidad Nacional de Colombia | 2018
B.Sc. in Agricultural Engineering | Universidad Nacional de Colombia | 2013
Honors & Awards¶
Fulbright–Colciencias Fellowship | 2019
AI Fellowship | Ministry of ICT, Colombia | 2019
Hack the Risk! – Winning Team | 2019
Open Source Contributions¶
I am an active contributor to the open-source atmospheric science community, including:
Xradar: Python library for weather radar data processing
Raw2zarr: Tools for converting radar data to cloud-optimized formats
Open Radar Science: Educational materials and workflows
Professional Activities¶
Advocate for open science practices in atmospheric research
Developer of FAIR-compliant data workflows
Active participant in the Python for Atmospheric Science ecosystem
Contact Information¶
Email: aladino@illinois
.edu GitHub: aladinor
ORCID: 0000-0001-8081-7827