Published multiple high-impact papers including 'FogNet-v2.0: Explainable Physics-Informed Vision Transformer for Coastal Fog Forecasting' (ESS Open Archive, 2024)
Published in journals such as Atmospheric Research, Computers and Electronics in Agriculture, and Environmental Modelling & Software on topics including evapotranspiration estimation, vineyard yield prediction, and fog modeling
Co-Principal Investigator on NYSG-funded project 'AI-Based Forecast Tool for Hypoxia Prediction in Long Island Sound', $218,361 grant (2024–2026)
Recipient of NSF Graduate Research Fellowship (2020–2022)
Awarded $14,000 scholarship from UC Davis Department of Viticulture and Enology (2022–2023)
3rd Place, Best Student Oral Presentation at the 101st AMS Annual Meeting (2021)