A Python implementation of LDFI.
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Updated
May 20, 2018 - Python
A Python implementation of LDFI.
Under the supervision of Prof. Matthew Browning, I was tasked to study the creation of a spectral solver for Boussinesq approximated fluid dynamics and then, using Dedalus, to study the effects of rotation and stratification on turbulent convection.
Official TypeScript SDK for the Dedalus platform.
Landing page for Dedalus Labs — built with Next.js and TypeScript.
A provenance tree generator for recursive Datalog with negation (and Dedalus).
Source code and data for the paper "Data Assimilation in Large Prandtl Rayleigh-Bénard Convection from Thermal Measurements" by A. Farhat, N. E. Glatt-Holtz, V. R. Martinez, S. A. McQuarrie, and J. P. Whitehead.
Interactive water-world simulator: full-sphere shallow-water ocean physics (Dedalus v3) rendered on a CesiumJS globe. Drag a moon, change rotation, watch tides, currents and anomalies respond in real time. FastAPI + React/TypeScript, zarr data contract, live anomaly detection.
A stand-alone translator for Dedalus programs.
Project for the datathon organized by Dedalus #Data4Health that we participated in and got the #2 place.
An oracle for distributed system failure preemption and avoidance.
Dedalus simulation scripts for active hydrodynamic theory of euchromatin and heterochromatin.
LaTeX source file for my Computer Science Thesis "Clinical Data Management Processes and Predictive Machine Learning Models Development for Diagnosis and Rehabilitation in the Cardiovascular Domain", which spans over 100 pages. Research was conducted in collaboration with the multinational company Dedalus
An input generation platform for testing distributed protocols.
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