Eat well, Sleep well, Think well, and Research.
I am a PhD student at the University of Texas at Austin, where I study machine learning, sustainable systems, and climate change. My advisors are Dr. Dev Niyogi and Dr. Zoltan Nagy. My research interests include applying machine learning to urban energy systems and geospatial data analysis. I am passionate about coding and exploring real-world data distributions.
Recent Activities
February 2025
AAAI 2025
Attended AAAI 2025 conference to present my internship work on precipitation downscaling using diffusion models. I was in the social impact track and saw some friends that I met at NeurIPS 2023.The community is so small that people often cross paths in different conferences. This is my first time that a work actually gets accepted to a top AI conference in the track with proceedings. Feel so good to be recognized.
October 2024
Comprehensive Exam
Successfully completed my PhD comprehensive exam with my committee. My research will focus on building energy modeling, and I'm excited about the upcoming work ahead. The committee ensured I have a solid foundation before defending my PhD dissertation.
May - Aug. 2024
Fujitsu Internship
Completed my second internship during PhD studies, spending three months working on precipitation downscaling using diffusion models. This experience opened my eyes to the possibilities of working in an industrial research lab.
July 2024
i3ce 2024
Attended the i3ce conference (my first in-person civil engineering conference) and reunited with friends who motivated me to pursue a PhD.
December 2023
NeurIPS 2023
Presented a poster at the Climate Change AI Workshop about CityTFT, a transformer model for urban building energy modeling. This was my first in-person AI conference, and I had a wonderful time in New Orleans.