About
Hello! I'm a 4th year undergraduate student studying astronomy and astrophysics at UC San Diego. I currently research merger driven gamma-ray bursts (GRB) to predict the rates, properties, and offset distributions across cosmic time using population synthesis (COMPAS), validating against LVK, GRB, and Kilonova observational catalogs.
Previously worked at General Atomics as an Infrastructure Engineer and Program Coordinator at SPACES UCSD. Right now, I'm focusing on getting my research ready for publishing. I'm also working towards the AWS Machine Learning Engineer (MLA-C01) certification and other smaller projects.
Skills
Scientific Computing
Python (NumPy, SciPy, Pandas, Astropy)
Git & GitHub
CUDA
Data Visualization (Matplotlib, Seaborn)
C++
PyTest
Machine Learning
PyTorch
TensorFlow
Scikit-learn
XGBoost
Infrastructure & Data
AWS (EC2, S3, SageMaker)
PostgreSQL
Docker
RedHat Linux
CI/CD (GitHub Actions)
Projects
The Sea Shells of the Universe: Automating HI Shell Detection
Trained a U-Net to detect expanding gas shells in radio telescope data (97% recall, F1 0.88). Also found a resolution selection effect in the literature's classification scheme.
SeaNN It Comin': Coastal Flood Prediction System
A deep learning system for predicting coastal flooding events using GRU (Gated Recurrent Unit) neural networks and temporal feature engineering.
Location
San Diego, California
Education
UC San Diego, B.S. in Astrophysical Sciences, expected June 2027.
Awards & Leadership
Hispanic Scholarship Fund Scholar • Astronomy Club Vice President