James Panayis

Data Scientist

https://talent.gravityer.com/james-panayis

Member since June 28, 2026

Key Strengths

Strong foundational knowledge in Python for scientific computing and data analysis, evidenced by multiple projects involving Neural Operators and Physics Residual Errors.
Experience with C++ for performance-critical simulations and visualizations, indicating a versatile programming background.
Demonstrated interest in advanced scientific computing, particularly in the intersection of physics and machine learning (Neural-PDE models, UQ across Neural-PDE models).
Familiarity with Jupyter Notebook for interactive development and experimentation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong academic and research-oriented background, particularly in physics and scientific computing. This aligns well with roles requiring deep analytical thinking and problem-solving. However, the projects are predominantly personal and lack explicit team collaboration or industry-specific context, which might indicate a need for adaptation to a more collaborative or product-driven environment. The diversity of technologies (Python, C++, Julia, HTML, Makefile, Shell) suggests adaptability, but the focus is heavily on scientific/mathematical applications.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Assessing your cultural and operational fit

Projects

NOs_for_POs

October 18, 2024 – Present

Learning Physical Operators using Neural Operators

View Project

Neural_PDE

April 22, 2024 – Present

Base Repository for all Neural-PDE related Experiments

View Project

CP-PRE

June 22, 2023 – November 21, 2025

Framework for calibrating Physics Residual Errors as UQ across Neural-PDE models

View Project

decay

October 10, 2022 – February 26, 2023

Investigating CP violation in the Lambda-b to p K mu mu decay at LHCb

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python-api

July 1, 2022 – Present

Simvue Python API

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isingsim

February 16, 2022 – March 15, 2022

Simulation based on the Ising model

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animol-viewer

November 4, 2021 – July 19, 2022

AniMol web front end of molecular viewer web app allowing interactive visualization of molecular structures and trajectories

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orbits1

February 16, 2020 – November 11, 2020

Simple visualizer of gravitational orbits

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game1

February 16, 2020 – February 16, 2020

Simple platformer game

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interference1

February 16, 2020 – February 16, 2020

Simple interference pattern visualizer

View Project

Key Strengths

Strong foundational knowledge in Python for scientific computing and data analysis, evidenced by multiple projects involving Neural Operators and Physics Residual Errors.
Experience with C++ for performance-critical simulations and visualizations, indicating a versatile programming background.
Demonstrated interest in advanced scientific computing, particularly in the intersection of physics and machine learning (Neural-PDE models, UQ across Neural-PDE models).
Familiarity with Jupyter Notebook for interactive development and experimentation.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

James Panayis

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit