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Scientist @ JPSI - Stony Brook | Associate @ BNL
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stony Brook University
Data Scientist
June 27, 2026 – Present
fdmnes-mcp
May 20, 2026 – Present
MCP server wrapping FDMNES (X-ray spectroscopy ab-initio code) for natural-language workflows in Claude Code, Claude Desktop, Codex, and other MCP clients
View ProjectJPSI_XAFS_Workshop
April 13, 2025 – April 16, 2025
JPSI_XAFS_Workshop — GitHub repository
View ProjectFLiBe-Cr_MLMD
January 6, 2025 – January 6, 2025
Learning to build a FLiBr+Cr MLMD model from AIMD
View ProjectONNE
November 13, 2024 – November 13, 2024
A refactored and user friendly implementation of the ONNE method
View ProjectSurge
September 26, 2024 – September 27, 2024
A repo for demonstrating the efficacy of NN surrogate models for XAS simulation
View Projectcrowpeas
September 13, 2024 – May 12, 2025
EXAFS fitting using neural networks and PyTorch.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on scientific research and data analysis, particularly in physics/chemistry domains. This aligns well with a data scientist role that involves research and complex problem-solving. The diversity of projects, while all within a similar scientific niche, shows a breadth of application within that domain. However, the lack of team-based projects or broader industry applications limits the assessment of cultural fit beyond a research-oriented environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication, collaboration, or work attitude.