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Numerical Simulation | GPU-Acceleration | Geotechnical and Coastal Engineering NHERI SimCenter @ UC Berkeley Developing HydroUQ and ClaymoreUW
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UC Berkeley
Data Scientist
June 28, 2026 – Present
PuertoRicoUQ
May 22, 2025 – May 23, 2025
Puerto Rico's automated workflow for state-of-the-art tsunami hazard analysis with automated inventory generation, near-real time wave simulation, structural analysis, uncertainty quantification, and surrogate modeling.
View ProjectCelerisAi
September 26, 2024 – Present
CelerisAi, a nearshore wave modeling software developed in Python-Taichi.
View ProjectGNS-MPM-Point-E
July 2, 2024 – August 15, 2024
NSF NHERI REU (2024) code working with Geoelements GNS, Taichi MPM, and OpenAI Point-E on the Lonestar6 TACC supercomputer.
View ProjectTaichi-To-GNS-Wave-Flume
June 7, 2024 – April 10, 2025
A repository to develop methods for training surrogate models to analyze and simulate debris in fluid flow fields.
View ProjectFOAMySees
December 8, 2023 – Present
Beta release of code for coupling OpenSees and OpenFOAM with Python and preCICE
View ProjectOptimized-Fluid
June 8, 2023 – June 13, 2023
Optimization of fluid / solid material law for GPU use. Based on Murnaghan Tait Equation of State used in MPM / SPH. Improve precision, speed, and halve memory use with minimal effort.
View ProjectBorja-Amies
December 11, 2020 – December 11, 2020
Implementations (Precomputed,Traditional) of Borja & Amies 1994 Bounding Surface Constitutive Model
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in scientific computing, fluid dynamics, and structural analysis, indicating a strong fit for research-oriented or specialized data science roles. However, the lack of diversity in project domains (e.g., business analytics, machine learning applications outside of scientific modeling, A/B testing) might limit fit for broader industry data scientist roles. The candidate's experience level is listed as 0, which contradicts the 'Data Scientist' role at UC Berkeley starting in 2026. This discrepancy needs clarification for a proper cultural fit assessment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong focus on technical execution and research, but collaboration, communication, and problem-solving approaches are not detailed.